2024-03-28T09:40:26Z
https://journals.agh.edu.pl/dmms/oai
oai:ojs.journals.agh.edu.pl:article/526
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"121223 2012 eng "
2300-7087
1896-8325
dc
An Incremental Approach for Storage and Delivery Planning Problems
Sakakibara, Kazutoshi
Ritsumeikan University
Tian, Yajie
Nihon Unisys, Ltd.
Nishikawa, Ikuko
Ritsumeikan University
We consider a logistic planning problem for simultaneous optimization of the storage and the delivery. This problem arises in the consolidate shipment using an intermediate storage in a supply chain, which is typically found in the automobile industry. The vehicles deliver the items from the origin to the destination, while the items can be stored at some warehousing facilities as the intermediate storage during the delivery. The delivery plan is made for each day separately, but the storage at a warehouse may last for more than one day. Therefore, the entire logistic plan should be considered over a certain period for the total optimization. We formulate the storage and delivery problem as a mixed integer programming. Then, we propose a relax-and-fix type heuristic method, which incrementally fixes decision variables until all the variables are fixed to obtain a complete solution. Moreover, a semiapproximate model is introduced to effectively fix the variables. Based on the formulation, the delivery plan can be solved for each day separately. This has the advantage especially in the dynamic situation, where the delivery request is modified from the original request before the actual delivery day. Numerical experiments show that the simultaneous optimization gives the effective storage plan to reduce the total logistic cost, and the proposed heuristics efficiently reduce the computational time and are robust against the dynamic situation.
AGH University of Krakow Press
2013-08-24 10:26:26
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https://journals.agh.edu.pl/dmms/article/view/526
Decision Making in Manufacturing and Services; Vol. 6 (2012): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/527
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"121223 2012 eng "
2300-7087
1896-8325
dc
Application of Fuzzy Based VIKOR Approach for Multi-Attribute Group Decision Making (MAGDM): A Case Study in Supplier Selection
Samantra, Chitrasen
National Institute of Technology
Datta, Saurav
National Institute of Technology
Mahapatra, Siba Sankar
National Institute of Technology
In today’s competitive global markets, selection of a potential supplier plays an important role to cut production costs as well as material costs of the company. This leads to successful survival and sustainability in a competitive marketplace. Therefore, evaluation and selection of an appropriate supplier has become an important part of supply chain management. The nature of the supplier selection process is a complex multi-attribute group decision making (MAGDM) problem which deals with both quantitative and qualitative factors may be conflicting in nature as well as contain incomplete and uncertain information. In order to solve such a kind of MAGDM problems, the development of an effective supplier selection model is evidently desirable. In this paper, an application of the VIKOR method combined with fuzzy logic has been used to solve supplier selection problems with confliting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution. The decision maker wants a solution, which must be closest to the ideal, and the alternatives are evaluated according to all established criteria. Linguistic values are used to assess the ratings and weights for the conflicting factors. These linguistic ratings can be expressed in triangular fuzzy numbers. Then, a hierarchy MAGDM model based on fuzzy sets theory and the VIKOR method has been proposed to deal with the supplier selection problems in the supply chain system. A case study has been illustrated as an application of the proposed model.
AGH University of Krakow Press
2013-08-24 10:26:26
application/pdf
https://journals.agh.edu.pl/dmms/article/view/527
Decision Making in Manufacturing and Services; Vol. 6 (2012): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/528
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"121223 2012 eng "
2300-7087
1896-8325
dc
Computational Model of Collective Intelligence for Meta-level Analysis and Prediction of Free or Quasi-free Market Economy
Szuba, Tadeusz
AGH University of Science and Technology
Szydło, Stanisław
AGH University of Science and Technology
Skrzyński, Paweł
AGH University of Science and Technology
This paper encourages the use of a computational model of Collective Intelligence as a major (meta-level) tool to analyze and predict behavior of socio-economical systems like free (or quasi-free) markets are. Researchers are aware, that economics is a study of human behavior, but lack of a proper formal tool has shifted research in economics into the language of money, production, consumption, etc. From an economic point of view, when analyzing free (quasi-free) markets, more important is group behavior than individual behavior because they result in changes of market indexes. Group behavior leads in specific cases to the emergence of “group intelligence” with the most famous case named “A. Smith invisible hand of market”. A computational model of Collective Intelligence allows for the formal extraction of the “system of inference processes” which run in an unconscious way in socio-economic structures. The construction of a proper formal and simulation model of such Collective Intelligence inferences allows us to take an attempt to predict outcomes in terms of economical results. The paper will present a formal basis, methodology of constructing Collective Intelligence systems for given socio-economic structures.
AGH University of Krakow Press
2013-08-24 10:26:26
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https://journals.agh.edu.pl/dmms/article/view/528
Decision Making in Manufacturing and Services; Vol. 6 (2012): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/529
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"121223 2012 eng "
2300-7087
1896-8325
dc
Competitive location under proportional choice: 1-suboptimal points on networks
Kress, Dominik
University of Siegen
Pesch, Erwin
University of Siegen
This paper is concerned with a competitive or voting location problem on networks under a proportional choice rule that has previously been introduced by Bauer et al. (1993). We refine a discretization result of the authors by proving convexity and concavity properties of related expected payoff functions. Furthermore, we answer the long time open question whether 1-suboptimal points are always vertices by providing a counterexample on a tree network.
AGH University of Krakow Press
2013-08-24 10:26:26
application/pdf
https://journals.agh.edu.pl/dmms/article/view/529
Decision Making in Manufacturing and Services; Vol. 6 (2012): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/530
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"121223 2012 eng "
2300-7087
1896-8325
dc
An Attribute Based Similarity Function for VRP Decision Support
Løkketangen, Arne
Molde University College
Oppen, Johan
Molde University College
Oyola, Jorge
Molde University College
Woodruff, David L.
University of California
When solving problems in the real world using optimization tools, the model solved by the tools is often only an approximation of the underlying, real, problem. In these circumstances, a decision maker (DM) should consider a diverse set of good solutions, not just an optimal solution as produced using the model. On the other hand, the same DM will only be interested in seeing a few of the alternative solutions, and not the plethora of solutions often produced by modern search techniques. There is thus a need to distinguish between good solutions using the attributes of solutions. We develop a distance function of the type proposed in the Psychology literature by Tversky (1977) for the class of VRP problems. We base our difference on the underlying structure of solutions.
A DM is often interested in focusing on a set of solutions fulfilling certain conditions that are of specific importance that day, or in general, like avoiding a certain road due to construction that day. This distance measure can also be used to generate solutions containing these specific classes of attributes, as the normal search process might not supply enough of these interesting solutions. We illustrate the use of the functions in a Multiobjective Decision Support System (DSS) setting, where the DM might want to see the presence (or absence) of certain attributes, and show the importance of identifying solutions not on the Pareto front. Our distance measure can use any attributes of the solutions, not just those defined in the optimization model.
AGH University of Krakow Press
2013-08-24 10:26:26
application/pdf
https://journals.agh.edu.pl/dmms/article/view/530
Decision Making in Manufacturing and Services; Vol. 6 (2012): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/531
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"111003 2011 eng "
2300-7087
1896-8325
dc
Scheduling Problems with Learning and Ageing Effects: A Survey
Janiak, Adam
Wrocław University of Technology
Krysiak, Tomasz
Wrocław University of Technology
Trela, Radosław
Wrocław University of Technology
In recent years, many papers concerning scheduling problems with simultaneous learning and ageing effects were published. In this paper, the state of the art of research concerning these problems is presented. In order to facilitate understanding this subject, the scheduling problems where these effects occur separately, are firstly explained. Then, the papers devoted to scheduling problems combining the effects of learning and ageing are discussed. Particular attention was paid on practical applications of the considered scheduling problems. After thorough analysis it turned out that both scheduling problems with learning effect, and with ageing effect, as well as, in particular, the problems with models merging learning and ageing effects do not have any reasonable real-life applications. This is because the learning and ageing effects are in general long time horizon phenomena observed in repetitive systems and scheduling theory concerns either with repetitive short-horizon planning problems or single long-horizon projects. Therefore, there is no sense to continue research considering these scheduling problems from practical (computer engineering, automatic control, technical and economical) point of view, unless such reasonable real-life example appears.
AGH University of Krakow Press
2013-08-24 10:26:16
application/pdf
https://journals.agh.edu.pl/dmms/article/view/531
Decision Making in Manufacturing and Services; Vol. 5 (2011): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/532
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"111003 2011 eng "
2300-7087
1896-8325
dc
Neighbourhood Properties in Some Single Processor Scheduling Problem with Variable Efficiency and Additional Resources
Gorczyca, Mateusz
Wrocław University of Technology
Janiak, Adam
Wrocław University of Technology
Janiak, Władysław
Wrocław University of Technology
In the paper, we consider a problem of scheduling a set of tasks on a single processor. Each task must be preprocessed before it can be started on a processor. The efficiency of preprocessing is variable, i.e., the rate of the task preprocessing depends on the amount of continuously divisible resource allotted to this task. This dependency is given by concave, continuous, non-negative and strictly increasing function of the resource amount. The total consumption of resource at each moment is upper bounded. The objective is to minimize the maximum task completion time. The considered problem is NP-hard. Such a problem appears, e.g., in steel mill systems, where ingots (before hot rolling on the blooming mill) have to achieve the required temperature in the preheating process in soaking pits. Some new properties of the problem are proved. These properties are used to construct the procedure for evaluation of the neighbourhood. The procedure is proposed to improve the efficiency of algorithms based on the neighbourhood concept, such as metaheuristics. The computational experiment is conducted to examine the efficiency of the proposed procedure. The described approach can be easily used in the other discrete-continuous scheduling problems.
AGH University of Krakow Press
2013-08-24 10:26:16
application/pdf
https://journals.agh.edu.pl/dmms/article/view/532
Decision Making in Manufacturing and Services; Vol. 5 (2011): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/533
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"130731 2013 eng "
2300-7087
1896-8325
dc
A Utility Function to Solve Approximate Linear Equations for Decision Making
Yoneda, Kiyoshi
Fukuoka University
Celaschi, Walter
Cidade Universitária – Campinas/SP
Suppose there are a number of decision variables linearly related to a set of outcome variables. There are at least as many outcome variables as the number of decision variables since all decisions are outcomes by themselves. The quality of outcome is evaluated by a utility function. Given desired values for all outcome variables, decision making reduces to “solving” the system of linear equations with respect to the decision variables; the solution being defined as decision variable values such that maximize the utility function. This paper proposes a family of additively separable utility functions which can be defined by setting four intuitive parameters for each outcome variable: the desired value of the outcome, the lower and the upper limits of its admissible interval, and its importance weight. The utility function takes a nonnegative value within the admissible domain and negative outside; permits gradient methods for maximization; is designed to have a small dynamic range for numerical computation. Small examples are presented to illustrate the proposed method.
AGH University of Krakow Press
2014-07-07 19:18:43
application/pdf
https://journals.agh.edu.pl/dmms/article/view/533
Decision Making in Manufacturing and Services; Vol. 7 (2013): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/534
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"111003 2011 eng "
2300-7087
1896-8325
dc
Scheduling Jobs with Linear Model of Simultaneous Ageing and Learning Effects
Janiak, Adam
Wrocław University of Technology
Lichtenstein, Maciej
Wrocław University of Technology
Rusoń, Agata
Wrocław University of Technology
In the paper, we introduce some new scheduling model in which learning and aging effects are both considered simultaneously. In this model the actual processing time of the jobs depends only on its position in a schedule and can be described by the piecewise linear function. For single-processor problem with introduced model, we show that the problem of minimizing the makespan criterion for independent jobs with release dates is strongly NPhard, but some special cases of this problem are polynomially solvable. Based on those special cases, we propose 4 heuristic algorithms and we experimentally examine their usefulness for solving the general problem.
AGH University of Krakow Press
2013-08-24 10:26:16
application/pdf
https://journals.agh.edu.pl/dmms/article/view/534
Decision Making in Manufacturing and Services; Vol. 5 (2011): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/535
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"111003 2011 eng "
2300-7087
1896-8325
dc
Extended Model Formulation of the Proportional Lot-Sizing and Scheduling Problem with Lost Demand Costs
Kaczmarczyk, Waldemar
AGH University of Science and Technology
We consider mixed-integer linear programming (MIP) models of production planning problems known as the small bucket lot-sizing and scheduling problems. We present an application of a class of valid inequalities to the case with lost demand (stock-out) costs. Presented results of numerical experiments made for the the Proportional Lot-sizing and Scheduling Problem (PLSP) confirm benefits of such extended model formulation.
AGH University of Krakow Press
2013-08-24 10:26:16
application/pdf
https://journals.agh.edu.pl/dmms/article/view/535
Decision Making in Manufacturing and Services; Vol. 5 (2011): No. 1-2
eng
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oai:ojs.journals.agh.edu.pl:article/536
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"111003 2011 eng "
2300-7087
1896-8325
dc
BPMN – A Logical Model and Property Analysis
Ligęza, Antoni
AGH University of Science and Technology
Business Process Modeling Notation has become a powerful and widely accepted visual language for modeling business processes. Despite its expressive power and high usability, a weak point of BPMN is the lack of formal semantics and difficulties with assuring correctness of the overall process. In this paper an attempt is made towards investigation and development of foundations for a logical, declarative model for BPMN. Such model should enable formal analysis of desired properties referring to correct operation of Business Processes modeled with use of BPMN.
AGH University of Krakow Press
2013-08-24 10:26:16
application/pdf
https://journals.agh.edu.pl/dmms/article/view/536
Decision Making in Manufacturing and Services; Vol. 5 (2011): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/537
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"111003 2011 eng "
2300-7087
1896-8325
dc
Models and Tools for Improving Efficiency in Constraint Logic Programming
Ligęza, Antoni
AGH University of Science and Technology
Constraint Satisfaction Problems typically exhibit strong combinatorial explosion. In this paper we present some models and techniques aimed at improving efficiency in Constraint Logic Programming. A hypergraph model of constraints is presented and an outline of strategy planning approach focused on entropy minimization is put forward. An example cryptoaritmetic problem is explored in order to explain the proposed approach.
AGH University of Krakow Press
2013-08-24 10:26:16
application/pdf
https://journals.agh.edu.pl/dmms/article/view/537
Decision Making in Manufacturing and Services; Vol. 5 (2011): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/538
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
2300-7087
1896-8325
dc
Separating I/O from Application Logic for Rule-Based Control Systems
Wojnicki, Igor
AGH University of Science and Technology
One of the main reasons of using a rule-based approach to program control systems is that they can be formally verified. For such systems communication with the environment is often encoded within the knowledge base. Such inclusion may lead to issues with portability, extendibility, maintainability, and interoperability. The paper proposes a four layer architecture to solve these issues. A proof-of-concept RBS, targeted at control systems, and an example case are also given.
AGH University of Krakow Press
2013-08-24 10:26:16
application/pdf
https://journals.agh.edu.pl/dmms/article/view/538
Decision Making in Manufacturing and Services; Vol. 5 (2011): No. 1-2
eng
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oai:ojs.journals.agh.edu.pl:article/539
2024-03-28T09:40:23Z
dmms:Art
driver
nmb a2200000Iu 4500
"101219 2010 eng "
2300-7087
1896-8325
dc
Coordinating Contracts in SCM: A Review of Methods and Literature
Hezarkhani, Behzad
Memorial University
Kubiak, Wiesław
Memorial University
Supply chain coordination through contracts has been a burgeoning area of re- search in recent years. In spite of rapid development of research, there are only a few structured analyses of assumptions, methods, and applicability of insights in this field. The aim of this paper is to provide a systematic overview of coordinating contracts in supply chain through highlighting the main concepts, assumptions, methods, and present the state-of-the- art research in this field.
AGH University of Krakow Press
2013-08-24 10:25:39
application/pdf
https://journals.agh.edu.pl/dmms/article/view/539
Decision Making in Manufacturing and Services; Vol. 4 (2010): No. 1-2
eng
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oai:ojs.journals.agh.edu.pl:article/540
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"101219 2010 eng "
2300-7087
1896-8325
dc
Ant Algorithm for AP-N Aimed at Optimization of Complex Systems
Mikulik, Jerzy
AGH University of Science and Technology
Zajdel, Mirosław
AGH University of Science and Technology
Assignment Problem (AP), which is well known combinatorial problem, has been studied extensively in the course of many operational and technical researches. It has been shown to be NP-hard for three or more dimensions and a few non-deterministic methods have been proposed to solve it. This paper pays attention on new heuristic search method for the n-dimensional assignment problem, based on swarm intelligence and comparing results with those obtained by other scientists. It indicates possible direction of solutions of problems and presents a way of behaviour using ant algorithm for multidimensional optimization complex systems. Results of researches in the form of computational simulations outcomes are presented.
AGH University of Krakow Press
2013-08-24 10:25:39
application/pdf
https://journals.agh.edu.pl/dmms/article/view/540
Decision Making in Manufacturing and Services; Vol. 4 (2010): No. 1-2
eng
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oai:ojs.journals.agh.edu.pl:article/541
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"101219 2010 eng "
2300-7087
1896-8325
dc
A Reference Point Method to Triple-Objective Assignment of Supporting Services in a Healthcare Institution
Sawik, Bartosz
This paper presents an application of mixed integer programming model for op- timal allocation of workers among supporting services in a hospital. The services include logistics, inventory management, financial management, operations management, medical analysis, etc. The optimality criterion of the problem is to minimize operational costs of supporting services subject to some specific constraints. The constraints represent specific conditions for resource allocation in a hospital. The overall problem is formulated as a triple- objective assignment model, where the decision variables represent the assignment of people to various jobs. A reference point approach with the Chebyshev metric is applied for the problem solution. The results of computational experiments modeled on a real data from a hospital in Lesser Poland are reported.
AGH University of Krakow Press
2013-08-24 10:25:39
application/pdf
https://journals.agh.edu.pl/dmms/article/view/541
Decision Making in Manufacturing and Services; Vol. 4 (2010): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/542
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"101219 2010 eng "
2300-7087
1896-8325
dc
A Bi-Objective Portfolio Optimization with Conditional Value-at-Risk
Sawik, Bartosz
AGH University of Science
and Technology
This paper presents a bi-objective portfolio model with the expected return as a performance measure and the expected worst-case return as a risk measure. The problems are formulated as a bi-objective linear program. Numerical examples based on 1000, 3500 and 4020 historical daily input data from the Warsaw Stock Exchange are presented and selected computational results are provided. The computational experiments prove that the proposed linear programming approach provides the decision maker with a simple tool for evaluating the relationship between the expected and the worst-case portfolio return.
AGH University of Krakow Press
2013-08-24 10:25:39
application/pdf
https://journals.agh.edu.pl/dmms/article/view/542
Decision Making in Manufacturing and Services; Vol. 4 (2010): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/543
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"101219 2010 eng "
2300-7087
1896-8325
dc
Analogous Forecasting of Products with a Short Life Cycle
Szozda, Natalia
Wrocław University of Economics
Managing a supply chain for products with a short life cycle, like fashion apparel, high-tech, personal computers, toys, CD’s etc., is challenging for many companies (Fisher and Raman, 1999). Because the life cycles of these products are too short for standard time- series forecasting methods (not longer than one – two years), an important way of overcoming the challenges of managing supply chains for such products is to find appropriate forecasting methodologies. The standard forecasting methods require some historical data, which are often unavailable at the time when the forecasts are being performed for products with a short life cycle (Lin, 2005). The method described in this article allows forecasters to use life cycles of similar, analogous products to arrive at the initial forecasts for the product(s) at hand.
AGH University of Krakow Press
2013-08-24 10:25:39
application/pdf
https://journals.agh.edu.pl/dmms/article/view/543
Decision Making in Manufacturing and Services; Vol. 4 (2010): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/544
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"091221 2009 eng "
2300-7087
1896-8325
dc
On Efficient Coloring of Chordless Graphs
Janczewski, Robert
Gdańsk University of Technology
Małafiejski, Michał
Gdańsk University of Technology
We are given a simple graph G = (V, E). Any edge e ∈ E is a chord in a path P ⊆ G (cycle C ⊆ G) iff a graph obtained by joining e to path P (cycle C) has exactly two vertices of degree 3. A class of graphs without any chord in paths (cycles) we call path-chordless (cycle-chordless). We will prove that recognizing and coloring of these graphs can be done in O(n2) and O(n) time, respectively. Our study was motivated by a wide range of applications of the graph coloring problem in coding theory, time tabling and scheduling, frequency assignment, register allocation and many other areas.
AGH University of Krakow Press
2013-08-24 10:25:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/544
Decision Making in Manufacturing and Services; Vol. 3 (2009): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/545
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"091221 2009 eng "
2300-7087
1896-8325
dc
Modelling Multi-Period Set-up Times in the Proportional Lot-Sizing Problem
Kaczmarczyk, Waldemar
AGH University of Science and Technology
This paper presents new mixed integer programming models for the Proportional Lot-Sizing Problem (PLSP) with set-up times longer than a period. Proposed models explicitly calculate the distribution of times amongst products in periods with a changeover and determine a final period for every set-up operation. Presented results prove that the proposed models are easier to solve using standard MIP methods than already known models.
AGH University of Krakow Press
2013-08-24 10:25:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/545
Decision Making in Manufacturing and Services; Vol. 3 (2009): No. 1-2
eng
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oai:ojs.journals.agh.edu.pl:article/546
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"091221 2009 eng "
2300-7087
1896-8325
dc
Practical Tips for Modelling Lot-Sizing and Scheduling Problems
Kaczmarczyk, Waldemar
AGH University of Science and Technology
This paper presents some important alternatives for modelling Lot-Sizing and Scheduling Problems. First, the accuracy of models can improved by using short time buckets, which allow more detailed planning but lead to higher computational effort. Next, valid inequalities make the models tighter but increase their size. Sometimes it is possible to find a good balance between the size and tightness of a model by limiting a priori the number of valid inequalities. Finally, a special normalization of the variables simplifies the presentation of results and validation of models.
AGH University of Krakow Press
2013-08-24 10:25:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/546
Decision Making in Manufacturing and Services; Vol. 3 (2009): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/547
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"091221 2009 eng "
2300-7087
1896-8325
dc
Robust Buffer Allocation for Scheduling of a Project with Predefined Milestones
Klimek, Marcin
Pope John Paul II State School of Higher Vocational Education in Biała Podlaska
Łebkowski, Piotr
AGH University of Science and Technology
The paper discusses the problem of robust buffer allocation for Resource- Constrained Project Scheduling Problem (RCPSP) with predefined milestones, for which execution deadlines have been established. To solve the problem, an algorithm is proposed supporting insertion of unit time buffers, with the simultaneous maximisation of new metrics of arrangement robustness. The presented results of experimental research speak for usability of the solutions proposed. The effectiveness is studied with use of test tasks included in the Project Scheduling Problem Library (PSPLIB) with additionally specified project milestones.
AGH University of Krakow Press
2013-08-24 10:25:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/547
Decision Making in Manufacturing and Services; Vol. 3 (2009): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/548
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"091221 2009 eng "
2300-7087
1896-8325
dc
A Reference Point Approach to Bi-Objective Dynamic Portfolio Optimization
Sawik, Bartosz
AGH University of Science and Technology
The portfolio selection problem presented in this paper is formulated as a biobjective mixed integer program. The portfolio selection problem considered is based on a dynamic model of investment, in which the investor buys and sells securities in successive investment periods. The problem objective is to dynamically allocate the wealth on different securities to optimize by reference point method the portfolio expected return and the probability that the return is not less than a required level. In computational experiments the dataset of daily quotations from the Warsaw Stock Exchange were used.
AGH University of Krakow Press
2013-08-24 10:25:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/548
Decision Making in Manufacturing and Services; Vol. 3 (2009): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/549
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"091221 2009 eng "
2300-7087
1896-8325
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Sequential Simulated Annealing for the Vehicle Routing Problem with Time Windows
Woch, Marcin
AGH University of Science and Technology
Łebkowski, Piotr
AGH University of Science and Technology
This article presents a new simulated annealing algorithm that provides very high quality solutions to the vehicle routing problem. The aim of described algorithm is to solve the vehicle routing problem with time windows. The tests were carried out with use of some well known instances of the problem defined by M. Solomon. The empirical evidence indicates that simulated annealing can be successfully applied to bi-criterion optimization problems.
AGH University of Krakow Press
2013-08-24 10:25:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/549
Decision Making in Manufacturing and Services; Vol. 3 (2009): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/550
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"081218 2008 eng "
2300-7087
1896-8325
dc
CP-driven Production Process Planning in Multiproject Environment
Banaszak, Zbigniew
Koszalin University of Technology
Bocewicz, Grzegorz
Koszalin University of Technology
Bach, Irena
Koszalin University of Technology
The way enterprise capabilities are used decides about its competitiveness among other ones. In that context modeling aimed at production tasks allocation planning plays a crucial role especially at concurrently executed production orders. The introduced reference model employing constraint programming (CP) paradigm describes both an enterprise and a set of project-like production orders. Moreover, encompassing consumer orders requirements and available production capabilities, the model provides the formal framework allowing one to develop a class of decision support systems aimed at interactive production process planning subject to multiproject environment constraints. In that context our contribution is a knowledge-based and CP-driven approach to resource allocation assuming precise character of decision variables. The conditions sufficient for deadlock avoidance are the main goal. The conditions delivered provide formal framework for developing a task oriented Decision Support Tool for Project Portfolio Prototyping (DST4P, Banaszak 2006). The tool provides a prompt and interactive service to a set of routine queries formulated either in straight or reverse way.
AGH University of Krakow Press
2013-08-24 10:25:30
application/pdf
https://journals.agh.edu.pl/dmms/article/view/550
Decision Making in Manufacturing and Services; Vol. 2 (2008): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/551
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"081218 2008 eng "
2300-7087
1896-8325
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A Transfer Line Balancing Problem by Heuristic Methods: Industrial Case Studies
Guschinskaya, Olga
Ecole des Mines de Saint Etienne
Dolgui, Alexandre
Ecole des Mines de Saint Etienne
The paper deals with the problem of optimal configuration of a type of transfer lines which are equipped with transfer machines. Such machines perform operations with standard modular spindle heads which are activated sequentially. All operations assigned to the same spindle head (block of operations) are executed simultaneously by a set of tools fixed at the spindle head. The quantity of machines and spindle heads used to produce a part with the given productivity rate defines the final cost of the transfer line which must be minimized. To minimize this cost, a combinatorial problem of operations assignment to blocks and machines must be solved. The solution must provide a desired productivity (cycle time), it must also satisfy precedence and compatibility constraints. In this paper, we suggest improved versions of FSIC heuristic algorithm in order to help line designers to solve real-scale industrial problems. Results of computational experiments obtained for industrial cases are presented.
AGH University of Krakow Press
2013-08-24 10:25:30
application/pdf
https://journals.agh.edu.pl/dmms/article/view/551
Decision Making in Manufacturing and Services; Vol. 2 (2008): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/552
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"081218 2008 eng "
2300-7087
1896-8325
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Partial Coordination May Increase Overall Costs in Supply Chains
Kaczmarczyk, Waldemar
AGH University of Science and Technology
This paper presents a computational study to evaluate the impact of coordinating production and distribution planning in a two-level industrial supply chain. Three planning methods are compared. The first emulates the traditional way of planning. The two other coordinate plans of the supplier and of all the buyers according to the Vendor Managed Inventory (VMI) approach. The monolithic method solves a single model describing the entire optimization problem. The sequential method copies the imperfect VMI practice. All three methods are implemented by means of Mixed Integer Programming models. The results presented prove that the right choice of planning method is very important for overall cost of the supply chain. In contrast to the previous research, it turned out that information sharing without full coordination may even lead to increase in the overall cost. For some companies applying the VMI approach, developing exact models and solving them almost optimally may therefore be very important.
AGH University of Krakow Press
2013-08-24 10:25:30
application/pdf
https://journals.agh.edu.pl/dmms/article/view/552
Decision Making in Manufacturing and Services; Vol. 2 (2008): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/553
2024-03-28T09:40:24Z
dmms:Art
driver
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"081218 2008 eng "
2300-7087
1896-8325
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Developing and Deploying Electronics Assembly Line Optimization Tools: A Motorola Case Study
Tirpak, Thomas M.
Motorola Home & Networks Mobility Business
The assignment of workloads to production equipment is one category of planning decision for an electronics assembly factory. In practice, line balancing requires not only selecting machines with sufficient placement accuracy and feeder capacity, but also address- ing a host of other operational objectives and constraints. Motorola Labs led a multi-year effort to apply mathematical programming to balance a variety of production mix and vol- ume scenarios. By representing the optimization problem as a specially structured, mixed linear-integer program, we were able to incorporate a high degree of reality in the model, simultaneously optimizing fixed setups, handling custom parts, maximizing machine uptime, and mitigating secondary bottlenecks. This paper presents the story of how we developed and deployed a software solution that significantly improved assembly cycle times, setup changeovers, and overall factory productivity, saving the company tens of millions of dollars.
AGH University of Krakow Press
2013-08-24 10:25:30
application/pdf
https://journals.agh.edu.pl/dmms/article/view/553
Decision Making in Manufacturing and Services; Vol. 2 (2008): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/554
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"081218 2008 eng "
2300-7087
1896-8325
dc
A Loss Function for Box-Constrained Inverses Problems
Yoneda, Kiyoshi
Fukuoka University
A loss function is proposed for solving box-constrained inverse problems. Given causality mechanisms between inputs and outputs as smooth functions, an inverse problem demands to adjust the input levels to make the output levels as close as possible to the target values; box-constrained refers to the requirement that all outcome levels remain within their respective permissible intervals. A feasible solution is assumed known, which is often the status quo. We propose a loss function which avoids activation of the constraints. A practical advantage of this approach over the usual weighted least squares is that permissible outcome intervals are required in place of target importance weights, facilitating data acquisition. The proposed loss function is smooth and strictly convex with closed-form gradient and Hessian, permitting Newton family algorithms. The author has not been able to locate in the literature the Gibbs distribution corresponding to the loss function. The loss function is closely related to the generalized matching law in psychology.
AGH University of Krakow Press
2013-08-24 10:25:30
application/pdf
https://journals.agh.edu.pl/dmms/article/view/554
Decision Making in Manufacturing and Services; Vol. 2 (2008): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/556
2016-10-29T11:54:19Z
dmms:Art
driver
nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
dc
Three-Machine Flowshop Scheduling Problem to Minimize Total Completion Time with Bounded Setup and Processing Times
Allahverdi, Ali
Kuwait University
The three-machine flowshop scheduling problem to minimize total completion time is studied where setup times are treated as separate from processing times. Setup and processing times of all jobs on all machines are unknown variables before the actual occurrence of these times. The lower and upper bounds for setup and processing times of each job on each machine is the only information that is available. In such a scheduling environment, there may not exist a unique schedule that remains optimal for all possible realizations of setup and processing times. Therefore, it is desired to obtain a set of dominating schedules (which dominate all other schedules) if possible. The objective for such a scheduling environment is to reduce the size of dominating schedule set. We obtain global and local dominance relations for a three-machine flowshop scheduling problem. Furthermore, we illustrate the use of dominance relations by numerical examples and conduct computational experiments on randomly generated problems to measure the effectiveness of the developed dominance relations. The computational experiments show that the developed dominance relations are quite helpful in reducing the size of dominating schedules.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/556
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/557
2016-10-29T11:54:19Z
dmms:Art
driver
nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
dc
Batch Scheduling of Deteriorating Products
Barketau, Maksim S.
Belarus State University
Cheng, T.C. Edwin
The Hong Kong Polytechnic University
Kovalyov, Mikhail Y.
Belarus State University
Ng, C.T. Daniel
The Hong Kong Polytechnic University
In this paper we consider the problem of scheduling N jobs on a single machine, where the jobs are processed in batches and the processing time of each job is a simple linear increasing function depending on job’s waiting time, which is the time between the start of the processing of the batch to which the job belongs and the start of the processing of the job. Each batch starts from the setup time S. Jobs which are assigned to the batch are being prepared for the processing during time S0 < S. After this preparation they are ready to be processed one by one. The non-negative number bi is associated with job i. The processing time of the i-th job is equal to bi(si − (sib + S0)), where sib and si are the starting time of the b-th batch to which the i-th job belongs and the starting time of this job, respectively. The objective is to minimize the completion time of the last job. We show that the problem is NP-hard. After that we present an O(N) time algorithm solving the problem optimally for the case bi = b. We further present an O(N2) time approximation algorithm with a performance guarantee 2.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/557
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/558
2016-10-29T11:54:19Z
dmms:Art
driver
nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
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Optimizing Modular Machining Line Design Problem with Mixed Activation Mode of Machining Units
Belmokhtar, Sana
CRAN - Research Center for Automatic Control of Nancy
Dolgui, Alexandre
Ecole des Mines de Saint Etienne
Delorme, Xavier
Ecole des Mines de Saint Etienne
Ignatenko, Ivan
Grodno State University
A modular transfer line designing problem is investigated. The problem is to find the best subset of modules (machining units) from a given set and to assign them to different stations so that technological constraints and cycle upper limit are respected and the line cost is minimal. The investigated lines have a mixed activation mode for the machining units of each station, i.e. the units of each station are arranged into a series of stages such that each stage is composed of several units activated in parallel. A mixed integer program approach is proposed to model and solve the corresponding design problem. Improvements are suggested in order to reduce the model size and speed up the computations.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/558
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/559
2016-10-29T11:54:19Z
dmms:Art
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nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
dc
The Errors-in-Variable Model in the Optimal Portfolio Construction
Czapkiewicz, Anna
AGH University of Science and Technology
Machowska, Małgorzata
AGH University of Science and Technology
In the paper we consider a modification of Sharpe’s method used in classical portfolio analysis for optimal portfolio building. The conventional theory assumes there is a linear relationship between asset’s return and market portfolio return, while the influence of all the other factors is not included. We propose not to neglect them any more, but include them into a model. Since the factors in question are often hard to measure or even characterize, we treat them as a disturbances on random variables used by classical Sharpe’s method.
The key idea of the paper is the modification of the classical approach by application of the errors-in-variable model. We assume that both independent (market portfolio return) as well as dependent (given asset’s return) variables are randomly distributed values related with each other by linear relationship and we build the model used for parameters’ estimation.
To verify the model, we performed an analysis based on archival data from Warsaw Stock Exchange. The results are also included.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/559
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/560
2016-10-29T11:54:19Z
dmms:Art
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nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
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Resource Management in Machine Scheduling Problems: A Survey
Janiak, Adam
Wrocław University of Technology
Janiak, Władysław
Wrocław University of Technology
Lichtenstein, Maciej
Wrocław University of Technology
The paper is a survey devoted to job scheduling problems with resource allocation. We present the results available in the scientific literature for commonly used models of job processing times and job release dates, i.e., the models in which the job processing time or the job release date is given as a linear or convex function dependent on the amount of the additional resource allotted to the job. The scheduling models with resource dependent processing times or resource dependent release dates extend the classical scheduling models to reflect more precisely scheduling problems that appear in real life. Thus, in this paper we present the computational complexity results and solution algorithms that have been developed for this kind of problems.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/560
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/561
2016-10-29T11:54:19Z
dmms:Art
driver
nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
dc
Scheduling with High Variety of Customized Compound Products
Smutnicki, Czesław
Wroclaw University of Technology
Domestic appliance is an instance of manufacturing various products on clients demand with frequent changes of production. Although the technological process for each individual product is relatively simply, the variety of products, mixed orders, frequent machines changeovers, machines with unusual service policy, lack or limited storage, etc., generates quite nontrivial planning, batching and scheduling problems and furthermore of a huge size. In this paper, we present speci c real process of production of refrigerators, mathematical and graph models of the problem and an outline of solution algorithm, based the on local search approach.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/561
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/562
2016-10-29T11:54:19Z
dmms:Art
driver
nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
dc
The Art and Science of Modeling Decision-Making Under Severe Uncertainty
Sniedovich, Moshe
The University of Melbourne
For obvious reasons, models for decision-making under severe uncertainty are austere. Simply put, there is precious little to work with under these conditions. This fact highlights the great importance of utilizing in such cases the ingredients of the mathematical model to the fullest extent, which in turn brings under the spotlight the art of mathematical modeling. In this discussion we examine some of the subtle considerations that are called for in the mathematical modeling of decision-making under severe uncertainty in general, and worst-case analysis in particular. As a case study we discuss the lessons learnt on this front from the Info-Gap experience.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/562
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/563
2016-10-29T11:54:19Z
dmms:Art
driver
nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
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A Distributed Decision-Support System for Virtual Prototyping
Tirpak, Thomas M.
Motorola Home & Networks Mobility Business
Lach, Lawrence E.
Motorola Labs Physical Realization Research Center
Xiao, Weimin
Motorola Labs Physical Realization Research Center
Lopez, Juan M.
Motorola Labs Physical Realization Research Center
Virtual Prototyping (VP) is a data-driven design process that promotes both knowledge reuse and innovation. High-profile applications in the automotive and aerospace industries have demonstrated its potential to significantly reduce prototype cycles, time to market, and total product cost. This paper addresses VP as a specialized application of Decision-Support Systems, and discusses common requirements for engineering design tools, as well as requirements specific to the design of electronic products, such as mobile phones. Motorola Labs' test bed for VP is introduced in terms of its open, agent-based architecture utilizing Java CORBA. One of the key principles of the VP System is the reuse of expert knowledge across multiple engineering domains. This is highlighted via several use cases, showing that the system can function not only as an Intranet-accessible repository of model services but also as an integral part of decision-making within the native CAD environment.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/563
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/564
2016-10-29T11:54:19Z
dmms:Art
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nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
dc
Advances in Cone-Based Preference Modeling for Decision Making with Multiple Criteria
Wiecek, Margaret M.
Clemson University
Decision making with multiple criteria requires preferences elicited from the decision maker to determine a solution set. Models of preferences, that follow upon the concept of nondominated solutions introduced by Yu (1974), are presented and compared within a unified framework of cones. Polyhedral and nonpolyhedral, convex and nonconvex, translated, and variable cones are used to model different types of preferences. Common mathematical properties of the preferences are discussed. The impact of using these preferences in decision making is emphasized.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/564
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/565
2016-10-29T11:54:19Z
dmms:Art
driver
nmb a2200000Iu 4500
"071011 2007 eng "
2300-7087
1896-8325
dc
Elevator Trip Distribution for Inconsistent Passenger Input-Output Data
Yoneda, Kiyoshi
Fukuoka University
Accurate traffic data are the basis for group control of elevators and its performance evaluation by trace driven simulation. The present practice estimates a time series of inter-floor passenger traffic based on commonly available elevator sensor data. The method demands that the sensor data be transformed into sets of passenger input-output data which are consistent in the sense that the transportation preserves the number of passengers. Since observation involves various behavioral assumptions, which may actually be violated, as well as measurement errors, it has been necessary to apply data adjustment procedures to secure the consistency. This paper proposes an alternative algorithm which reconstructs elevator passenger origin-destination tables from inconsistent passenger input-output data sets, thus eliminating the ad hoc data adjustment.
AGH University of Krakow Press
2013-11-22 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/565
Decision Making in Manufacturing and Services; Vol. 1 (2007): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/738
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"141119 2014 eng "
2300-7087
1896-8325
dc
Maximization of an Asymmetric Utility Function by the Least Squares
Yoneda, Kiyoshi
Fukuoka University
Moretti, Antonio Carlos
State University of Campinas
This note points out that a utility maximization procedure proposed in an earlier paper may be reduced to the least squares.The utility function is asymmetric in the sense that for each cue an ideal value and a permissible range are assigned in such a way that the ideal value is not necessarily at the center of the interval, like "a beer of 350 [ml] would be ideal, but acceptable if within [100, 500]". A practical consequence of the observation is that very little programming will be needed to deploy the utility maximization, since software for the least squares is widely available.
AGH University of Krakow Press
2015-02-14 21:23:32
application/pdf
https://journals.agh.edu.pl/dmms/article/view/738
Decision Making in Manufacturing and Services; Vol. 8 (2014): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/869
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"140520 2014 eng "
2300-7087
1896-8325
dc
Modelling Set-up Times Overlapping Two Periods in the Proportional Lot-Sizing Problem with Identical Parallel Machines
Kaczmarczyk, Waldemar
AGH University of Science & Technology in Cracow
Faculty of Management
Department of Operations Research & Information Technology
This paper presents a new mixed integer programming model for the Proportional Lot-Sizing Problem (PLSP) with identical parallel machines and set-up times overlappingtwo periods. The proposed model assumes constant period length and explicitly calculates the distribution of set-up operations among periods. The presented results of computational experiments with standard mip methods prove that the untying set-ups from period borders enables the reduction of the total costs in optimal solutions.
AGH University of Krakow Press
2014-07-07 19:18:43
application/pdf
https://journals.agh.edu.pl/dmms/article/view/869
Decision Making in Manufacturing and Services; Vol. 7 (2013): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/946
2024-03-28T09:40:24Z
dmms:Art
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"140520 2014 eng "
2300-7087
1896-8325
dc
A Two-Phase Algorithm for a Resource Constrained Project Scheduling Problem with Discounted Cash Flows
Klimek, Marcin
State School of Higher Education of Biała Podlaska
Łebkowski, Piotr
AGH University of Science and Technology
This paper presents a Resource-Constrained Project Scheduling Problem (RCPSP) settled by contractual milestones. The criterion analysed here is the maximisation of aggregate discounted cash flows from the contractor’s perspective, known as an RCPSP problem with Discounted Cash Flows (RCPSPDCF). The cash flows analysed here cover the contractor’s cash outflows (negative cash flows), related to the commencement of individual activities, and cash inflows (positive cash flows) after the fulfilment of individual milestones. The authors propose a two-phase algorithm for solving the problem defined. In the first phase, the simulated annealing metaheuristics is used, designed to identify a forward schedule with as high total DCF as possible. In the second phase, the best first-phase schedule is improved by right shifts of activities. To this end, the procedure which iteratively shifts tasks by one unit is applied, with a view to maximising the objective function. Activity shifts take into consideration precedence and resource constraints, and they are performed for a specified resource allocation to activities. This paper also includes an analysis of the problem for a sample project. The results of computational experiments are then analysed. The experiments were run with the use of standard test problems from the Project Scheduling Problem LIBrary (PSPLIB), with additionally defined cash flows and contractual milestones.
AGH University of Krakow Press
2014-07-07 19:18:43
application/pdf
https://journals.agh.edu.pl/dmms/article/view/946
Decision Making in Manufacturing and Services; Vol. 7 (2013): No. 1-2
eng
Copyright (c)
oai:ojs.journals.agh.edu.pl:article/1072
2024-03-28T09:40:24Z
dmms:Art
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2300-7087
1896-8325
dc
Application of a Fuzzy Inference System for the Optimization of Material Removal Rate and Multiple Surface Roughness Characteristics in the Machining of GFRP Polyester Composites
Singh, Ankita
National Institute of Technology Rourkela
Datta, Saurav
National Institute of Technology Rourkela
Mahapatra, Siba Sankar
National Institute of Technology Rourkela
This paper presents a multi-objective extended optimization methodology applied in the machining of a randomly oriented GFRP rod. Design of Experiment (DOE) has been selected based on a L9 orthogonal array design with varying process control parameters like: spindle speed, feed rate and depth of cut. Multiple surface roughness parameters of the machined FRP product along with the Material Removal Rate (MRR) of the machining process have been optimized simultaneously. The Fuzzy Inference System (FIS) has been proposed for providing feasible means for the meaningful aggregation of multiple objective functions into an equivalent single performance index (MPCI). This Multi-Performance Characteristic Index (MPCI) has been optimized using the Taguchi method. The approach adapted here is capable of overcoming limitations/ assumptions of existing optimization methodologies available in the literature.
AGH University of Krakow Press
2014-07-07 19:18:43
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1072
Decision Making in Manufacturing and Services; Vol. 7 (2013): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/1139
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"141125 2014 eng "
2300-7087
1896-8325
dc
Selected approaches for testing asset pricing models using Polish stock market data
Czapkiewicz, Anna
AGH University of Science and Technology
Skalna, Iwona
AGH University of Science and Technology
The main objective of this paper was to discuss alternative methods for testing the Fama-French (FF) three-factor asset pricing model. The properties of the selected methods were compared in a simulation study. The main stress was put on the behavior of the selected methods for small samples. The parameters used in the simulation study were obtained based on real data coming from the Polish stock market (Warsaw Stock Exchange). Different sample characteristics such as homoscedasticity, conditional heteroscedasticity and autocorrelation as well as heteroscedasticity of the model were tested.
AGH University of Krakow Press
2015-02-14 21:23:32
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1139
Decision Making in Manufacturing and Services; Vol. 8 (2014): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/1179
2024-03-28T09:40:24Z
dmms:Art
driver
nmb a2200000Iu 4500
"141119 2014 eng "
2300-7087
1896-8325
dc
Very Fast Non-dominated Sorting
Smutnicki, Czesław
Wroclaw University of Technology
Rudy, Jaroslaw
Wroclaw University of Technology
Zelazny, Dominik
Wroclaw University of Technology
New and very ecient parallel algorithm for the Fast Non-dominated Sorting of Pareto fronts is proposed. By decreasing its computational complexity, the application of the proposed method allows us to increase the speedup of the best up to now Fast and Elitist Multi-objective Genetic Algorithm (NSGA-II) more than two orders of magnitudes. Formal proofs of time complexities of basic as well as improved versions of the procedure are presented. Provided experimental results fully conrm theoretical ndings.
AGH University of Krakow Press
2015-02-14 21:23:32
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1179
Decision Making in Manufacturing and Services; Vol. 8 (2014): No. 1-2
eng
Copyright (c) 0
oai:ojs.journals.agh.edu.pl:article/1207
2016-10-27T08:36:51Z
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"160321 2016 eng "
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Stretching the Least Squares to Embed Loss Functions Tables
Yoneda, Kiyoshi
Fukuoka University
Moretti, Antonio Carlos
Universidade de Campinas
Poker, Jr., Johan Hendrik
Universidade de Campinas
The method of least squares is extended to accommodate a class of loss functions specified in the form of function tables. Each function table is embedded into the standard quadratic loss function so that the nonlinear least squares algorithms can be adopted for loss minimization. This is an alternative to a more conventional approach which interpolates the function tables and minimizes the resulting loss function by some generic optimization algorithm. An advantage of the alternative over the conventional approach is the wider availability of the least squares programs compared to the generic optimization programs, especially on resource-constrained devices. Examples are given for its application to multiplicative utility function maximization problems.
AGH University of Krakow Press
2016-03-21 19:44:38
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1207
Decision Making in Manufacturing and Services; Vol. 9 No. 2 (2015)
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1580
2016-10-27T08:39:20Z
dmms:Art
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nmb a2200000Iu 4500
"160321 2016 eng "
2300-7087
1896-8325
dc
Models, methods and information technologies of protection of corporate systems of transport based on intellectual identification of threats
Petrov, Alexander
AGH University of Science and Technology
Lakhno, Valeriy
Dnipropetrovsk National University Of Railway Transport
Korchenko, Alexander
The National Aviation University
In article results of researches on development of methods and models of intellectual recognition of threats to information systems of transport. The article to contain results of the researches, allowing to raise level of protection of the automated and intellectual information systems of the transportation enterprises (AISTE) in the conditions of an intensification of transportations. The article to contain mathematical models and results of an estimation information systems having Internet connection through various communication channels. The article also considers the issues of research and protection of the AISTE under the condition of several conflict data request threads.
AGH University of Krakow Press
2016-03-21 19:44:38
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1580
Decision Making in Manufacturing and Services; Vol. 9 No. 2 (2015)
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1671
2016-10-27T08:47:00Z
dmms:Art
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"160217 2016 eng "
2300-7087
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Game-Theoretic Approach to Bank Loan Repayment
Paliński, Andrzej
AGH University of Science and Technology
The paper presents a model of a bank loan repayment as a signaling game with a set of discrete types of borrowers. The type of the borrower is the return on investment project. A possibility of renegotiation of the loan agreement leads to an equilibrium in which the borrower adjusts repaid amount to the liquidation value of its assets from the bank’s point of view. In the equilibrium there are numerous pooling equilibrium points with values rising according to the expected liquidation value of the loan. The article additionally proposes mechanism forcing the borrower to pay all of his return instead of the common liquidation value of subset of types of the borrower. The paper contains also a simple numerical example explaining this mechanism.
AGH University of Krakow Press
2016-02-17 17:03:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1671
Decision Making in Manufacturing and Services; Vol. 9 No. 1 (2015): Special Issue on Game Theory and Applications
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1672
2016-10-27T08:45:26Z
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"160217 2016 eng "
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On the Non-Symmetric Nash and Kalai-Smorodinsky Bargaining Solutions
Gerchak, Yigal
Tel Aviv University
Recently in some negotiation application areas the usual assumption that the negotiators are symmetric has been relaxed. In particular, weights have been introduced to the Nash Bargaining Solution to reflect the different powers of the players. Yet operating with non-symmetric bargaining solutions and their implications is, we feel, not well understood.
We analyze the properties and optimization of the non-symmetric Nash Bargaining Solution and of a non-symmetric Kalai-Smorodinsky Bargaining Solution. We provide extensive comparative statics, then comment on the implications of the concepts in supply chain coordination contexts.
AGH University of Krakow Press
2016-02-17 17:03:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1672
Decision Making in Manufacturing and Services; Vol. 9 No. 1 (2015): Special Issue on Game Theory and Applications
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1673
2016-10-27T08:44:20Z
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"160217 2016 eng "
2300-7087
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Allocating Pooled Inventory According to Contributions and Entitlements
Gerchak, Yigal
Tel Aviv University
Inventory pooling, whether by centralization of stock or by mutual assistance, is known to be beneficial when demands are uncertain. But when the retailers are independent, the question is how to divide the benefits of pooling.
We consider a decentralized inventory pooling scheme where retailers' entitlements to allocation in case of shortage depend on their contributions to the pool. We derive the Nash equilibrium, and specialize it to symmetric cases.
AGH University of Krakow Press
2016-02-17 17:03:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1673
Decision Making in Manufacturing and Services; Vol. 9 No. 1 (2015): Special Issue on Game Theory and Applications
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1674
2016-10-27T08:48:12Z
dmms:Art
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"160217 2016 eng "
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Hyperbolicity of systems describing value functions in differential games which model duopoly problems
Zwierzchowska, Joanna
Nicolaus Copernicus University in Torun
Based on the Bressan and Shen approach ([2] or [7]), we present the extension of the class of non-zero sum dierential games for which value functions are described by a weakly hyperbolic Hamilton-Jacobi system. The considered value functions are determined by a Pareto optimality condition for instantaneous gain functions, for which we compare two methods of the unique choice Pareto optimal strategies. We present the procedure of applying this approach for duopoly.
AGH University of Krakow Press
2016-02-17 17:03:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1674
Decision Making in Manufacturing and Services; Vol. 9 No. 1 (2015): Special Issue on Game Theory and Applications
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1676
2016-10-27T08:42:59Z
dmms:Art
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"160217 2016 eng "
2300-7087
1896-8325
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Balancing Bilinearly Interfering Elements
Carfì, David
University of California Riverside California
Gambarelli, Gianfranco
University of Bergamo
Many decisions in various fields of application have to take into account the joined effects of two elements that can interfere with each other. This happens for example in Medicine (synergic or antagonistic drugs ), in Agriculture (anti-cryptogamics), in Public Economics (interfering economic policies), in Industrial Economics (where the demand of an asset can be influenced by the supply of another asset), Zootechnics and so on. When it is necessary to decide about the dosage of such elements, there is sometimes a primary interest for one effect rather than another; more precisely, it may be of interest that the effects of an element are in a certain proportion with respect to the effects of the other. It may be also necessary to take into account minimum quantities that must be assigned.
In Carfì et al (2013) a mathematical model was proposed to solve the above problem in exact form. In this paper we present the solution in closed form for the case in which the function of the effects is bilinear.
AGH University of Krakow Press
2016-02-17 17:03:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1676
Decision Making in Manufacturing and Services; Vol. 9 No. 1 (2015): Special Issue on Game Theory and Applications
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1677
2016-10-27T08:46:11Z
dmms:Art
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"160217 2016 eng "
2300-7087
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Interval methods for computing strong Nash equilibria of continuous games
Kubica, Bartłomiej
Warsaw University of Technology
Woźniak, Adam
Warsaw University of Technology
The problem of seeking strong Nash equilibria of a continuous game is considered. For some games these points cannot be found analytically, only numerically. Interval methods provide us an approach to rigorously verify the existence of equilibria in certain points. A proper algorithm is presented. We formulate and prove propositions, giving us features that have to be used by the algorithm (to the best knowledge of the authors, these propositions and properties are original). Parallelization of the algorithm is considered, also, and numerical results are presented. As a particular example, we consider the game of "misanthropic individuals", a game (invented by the frst author) that may have several strong Nash equilibria, depending on the number of players. Our algorithm is able to localize and verify these equilibria.
AGH University of Krakow Press
2016-02-17 17:03:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1677
Decision Making in Manufacturing and Services; Vol. 9 No. 1 (2015): Special Issue on Game Theory and Applications
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/1679
2016-10-27T08:42:01Z
dmms:Art
driver
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"160217 2016 eng "
2300-7087
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On Public Values and Power Indices
Bertini, Cesarino
University of Bergamo
Stach, Izabella
AGH University of Science and Technology
In this paper we analyze, from a different point of view, some values and power indices well defined in the social context where the goods are public. In particular we consider the Public Good index (Holler, 1982), the Public Good value (Holler and Li, 1995), the Public Help index (Bertini, Gambarelli and Stach, 2008), the König and Bräuninger index (1998) called also Zipke index (Nevison, Zicht and Schoepke, 1978), and the Rae index (1969). The aims of this paper are: to propose an extension of the Public Help index to cooperative games; to introduce a new power index with its extension to a game value and to provide some characterizations of the new index and values.
AGH University of Krakow Press
2016-02-17 17:03:52
application/pdf
https://journals.agh.edu.pl/dmms/article/view/1679
Decision Making in Manufacturing and Services; Vol. 9 No. 1 (2015): Special Issue on Game Theory and Applications
eng
Copyright (c) 2016 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2177
2018-07-11T19:05:35Z
dmms:Art
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"171205 2017 eng "
2300-7087
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Manpower Planning with Annualized Hours Flexibility: a Fuzzy Mathematical Programming Approach
Hasan, Md. Gulzarull
Department of Statistics and Operations Research,
Aligarh Muslim University
Hasan, S. Suhaib
Department of Statistics and Operations Research,
Aligarh Muslim University
We have considered the problem of Annualized Hours (AH) in workforce management. AH is a method of distributing working hours with respect to the demand over a year. In this paper the basic manpower planning problem with AH flexibility is formulated as a fuzzy mathematical programming problem with flexible constraints. Three models of AH planning problem under conditions of fuzzy uncertainty are presented using different aggregation operators. These fuzzy models softens the rigidity of deterministic model by relaxing some of the constraints using flexible programming. Finally, an illustration is given with a computational experiment performed on realistic scale case problem of an automobile company to demonstrate and analyze the effectiveness of the fuzzy approach over deterministic model.
AGH University of Krakow Press
2017-12-05 22:45:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2177
Decision Making in Manufacturing and Services; Vol. 10 (2016): No. 1-2
eng
Copyright (c) 2017 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2247
2018-07-11T19:03:28Z
dmms:Art
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"171205 2017 eng "
2300-7087
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Insertion Algorithms with Justification for Solving the Resource-Constrained Project Scheduling
Klimek, Marcin
State School of Higher Education in Biala Podlaska, Department of Computer Science
Łebkowski, Piotr
AGH University of Science and Technology, Faculty of Management
The paper presents the resource-constrained project scheduling problem with the makespan minimisation criterion. To solve the problem, the authors propose insertion algorithms which generate schedules with use of forward serial and parallel decoding procedures. Schedules are improved with the use of the double justification by extremes technique (first right and then left justification). The efficiency of the procedures proposed is tested on standard test problems from the PSPLIB library.
AGH University of Krakow Press
2017-12-05 22:45:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2247
Decision Making in Manufacturing and Services; Vol. 10 (2016): No. 1-2
eng
Copyright (c) 2017 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2301
2018-07-11T19:08:50Z
dmms:Art
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"171205 2017 eng "
2300-7087
1896-8325
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The Effect of Environmental Criteria on Locating a Biorefinery: A Green Facility Location Problem
Serrano-Hernandez, Adrian
Public University of Navarre
Faulin, Javier
Public University of Navarre
Belloso, Javier
Public University of Navarre
Sawik, Bartosz
AGH University of Science and Technology
Underestimating facility location decisions may penalize business performance over the time. Those penalties usually have been studied from the economic point of view analyzing its impact on profitability. Additionally, the concern about the obtaining of sustainability is gaining importance leading to seek for renewable energy sources to reduce greenhouse gas emissions. However, little attention has been paid on choosing a location considering environmental criteria. Thus, this work aims at determining a biorefinery location considering its impacts on natural resources. Therefore, a mixed integer linear programming (MILP) model is developed taking into account the crop location and the biomass production seasonality to obtain an apposite location that minimizes environmental impact. The initial version of this paper was presented at ICIL 2016 Conference.
AGH University of Krakow Press
2017-12-05 22:45:12
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2301
Decision Making in Manufacturing and Services; Vol. 11 (2017): No. 1-2
eng
Copyright (c) 2017 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2384
2018-07-11T19:09:42Z
dmms:Art
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"171205 2017 eng "
2300-7087
1896-8325
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Mixed Integer Programming Approaches to Planning and Scheduling in Electronics Supply Chains
Sawik, Tadeusz
http://home.agh.edu.pl/~tsawik
This paper discusses mixed integer programming (MIP) approaches to planning and scheduling in electronics supply chains. First, the short-term detailed scheduling of wafer fabrication in semiconductor manufacturing and detailed scheduling of printed wiring boards assembly in surface mount technology lines are discussed. Then, the medium-term aggregate production planning in a production/assembly facility of consumer electronics supply chain is described, and finally coordinated aggregate planning and scheduling of manufacturing and supply of parts and production of finished products is presented. The decision variables are defined and MIP modelling frameworks provided. The two decision-making approaches are discussed and compared: integrated (simultaneous) approach, in which all required decisions are made simultaneously using a complex, large monolithic MIP model; and hierarchical (sequential) approach, in which the required decisions are made successively, using hierarchies of simpler and smaller-size MIP models. The paper highlights also the research on stochastic MIP applications to planning and scheduling in electronics supply chains with disrupted material and information flows due to natural or man-made disasters.
AGH University of Krakow Press
2017-12-05 22:45:12
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2384
Decision Making in Manufacturing and Services; Vol. 11 (2017): No. 1-2
eng
Copyright (c) 2017 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2424
2018-07-11T19:07:51Z
dmms:Art
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"171205 2017 eng "
2300-7087
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Indirect Control of Corporations: Analysis and Simulations
Stach, Izabella
AGH University of Science and Technology
This paper is devoted to indirect control in corporate shareholding networks. This topic is important in financial economics. Since shareholding size does not actually reflect an investor’s power-control in corporate shareholding networks, diverse approaches to measuring the control-power of investors were proposed. We focuses in particular on a game-theoretical approach, namely on the model of Denti and Prati (2001) and its implementation to control sharing analysis and simulation in shareholding networks thanks to the computer program “Control Sharing Simulation.”
AGH University of Krakow Press
2017-12-05 22:45:12
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2424
Decision Making in Manufacturing and Services; Vol. 11 (2017): No. 1-2
eng
Copyright (c) 2017 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2502
2018-07-11T19:07:05Z
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"171205 2017 eng "
2300-7087
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Scheduling of Identical Jobs with Bipartite Incompatibility Graphs on Uniform Machines. Computational Experiments
Duraj, Szymon
Gdańsk University of Technology
Kopeć, Paweł
Gdańsk University of Technology
Kubale, Marek
Gdańsk University of Technology
Pikies, Tytus
Gdańsk University of Technology
Abstract. In the paper we consider the problem of scheduling of unit-length jobs on 3 or 4 uniform parallel machines to minimize schedule length or total completion time. We assume that jobs are subject to some kind of mutual exclusion constraints, modeled by a bipartite graph of bounded degree. The edges of the graph correspond to pairs of jobs that cannot be processed on the same machine. Although the problem is generally NP-hard, we show that under some conditions imposed on machine speeds and the structure of incompatibility graph our problem can be solved to optimality in polynomial time. Theoretical considerations are accompanied by computer experiments with some particular model of scheduling.
AGH University of Krakow Press
2017-12-05 22:45:12
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2502
Decision Making in Manufacturing and Services; Vol. 11 (2017): No. 1-2
eng
Copyright (c) 2017 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2690
2021-07-29T22:34:31Z
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"210127 2021 eng "
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Clustering heuristic for time-dependent periodic routing problems with complex constraints
Śliwiński, Tomasz
Warsaw University of Technology, Institute of Control and Computation Engineering
Periodic routing and scheduling is of utmost importance in many industries with mobile personnel working in the field: sales representatives, service technicians, suppliers, etc. The resulting optimization problems are of large scale and complexity, mostly due to discrete, combinatorial nature of the systems and due to complicated, nonuniform constraints. In many cases the long-term stability of the customer to personnel allocation is required, leading to the decomposition of the major problem into single employee subproblems.
The paper deals with building clusters of customers visited by a single salesperson. The procedure takes into account diverse system requirements and constraints, possible traveling schedules and expected operational costs. The difficulty of the problem lies in its large scale and constraints complexity as well as in troublesome objective evaluation for the given solution. The general solution concept is presented. Its usefulness is supported by the results of the computational experiments.
AGH University of Krakow Press
2021-01-27 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2690
Decision Making in Manufacturing and Services; Vol. 14 No. 2 (2020)
eng
Copyright (c) 2021 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2750
2020-01-28T21:16:58Z
dmms:Art
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"190401 2019 eng "
2300-7087
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Risks and implications for decision making processes associated with existing design codes or their non-existence
Błachut, Jan
AGH University of Science and Technology
Sala, Dariusz
AGH University of Science and Technology
Buckling phenomenon is a perplexing and unresolved issue in many safety critical structures, and it has been heavily regulated. The paper highlights the risks to decision making processes due to growing tendencies of eliminating from public domains disastrous events through confidentiality arrangements, erosion of existing human know-how, and falling standards of education. It is illustrated how existing, natural feedback routes to improvements of product design is broken by the imposition of legal, damage recovering, and court proceedings. All of this can lead the modern, automated support system to be blindfolded and unaware of harmful consequences when stability loss strikes.
AGH University of Krakow Press
2019-04-01 19:19:22
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2750
Decision Making in Manufacturing and Services; Vol. 12 (2018): No. 1-2
eng
Copyright (c) 2019 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2763
2020-01-28T21:16:58Z
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"190401 2019 eng "
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A multi-criteria optimization approach to modeling negotiation process
Łodziński, Andrzej
Faculty of Applied Informatics and Mathematics
Chair of Econometrics and Computer Science
Warsaw University of Life Sciences
The paper presents a multi-criteria optimization approach to modeling negotiation process. The negotiation process is modeled as a special multi-criteria problem. The method for finding solutions is the interactive selection process of some proposals. The parties shall submit their proposals on the subjects of the negotiations. These proposals are parameters of the multi-criteria optimization problem. Selection of solutions is accomplished by solving the optimization problem with parameters that define the aspirations of each party involved in the negotiations. Finally, evaluation of the solutions obtained by the parties is made.
AGH University of Krakow Press
2019-04-01 19:19:22
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2763
Decision Making in Manufacturing and Services; Vol. 12 (2018): No. 1-2
eng
Copyright (c) 2019 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2778
2020-07-02T13:07:52Z
dmms:Art
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"200427 2020 eng "
2300-7087
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A SPC strategy for decision making in manufacturing processes
Gil Del Val, Alain
Public University of Navarre, Mechanical, Energy and Materials Engineering Department
Campus Arrosadía, 31006, Pamplona, Spain, e-mail: alain.gil@unavarra.es http://orcid.org/0000-0003-1653-7702
Sawik, Bartosz
AGH University of Science and Technology, Faculty of Management
Mickiewicza 30, Krakow, Poland
Agustín, Alba
Public University of Navarre, Institute of Smart Cities, Integrated Group of Logistics and Transportation, Pamplona, Spain.
Faulín, Javier
Public University of Navarre, Institute of Smart Cities, Integrated Group of Logistics and Transportation, Pamplona, Spain.
Diéguez, Pedro María
Tapping is an extensively employed manufacturing process by which a multi-teeth tool, known as tap, cuts a mating thread when driven into a hole. When taps are new or slightly worn the process is usually in control and the geometry of the resulting threads on the work piece is correct. But as the tap wear increases the thread geometry deviates progressively from the correct one and eventually the screw threads become unacceptable.
The aim of this paper consists on a development of statistical process control strategy for decision making according to data coming from the current signal of the tap spindle for assessing thread quality. It could operate on line and indicates when the tap wear is so critical that, if the process were continued, it would result in unacceptable screw threads. The system would be very cost-effective since the tapping process could be run without any operator intervention.
AGH University of Krakow Press
2020-04-27 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2778
Decision Making in Manufacturing and Services; Vol. 13 (2019): No. 1-2
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2779
2020-01-28T21:16:58Z
dmms:Art
driver
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"190401 2019 eng "
2300-7087
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The Concept of Industry 4.0 Related Manufacturing Technology Maturity Model (Manutech Maturity Model, MTMM)
Gracel, Jaroslaw
AGH University of Science and Technology http://orcid.org/0000-0001-9597-5684
Łebkowski, Piotr
AGH University of Science and Technology
The main objective of this article is to describe Industry 4.0 and key manufacturing-technology-related technological and business challenges for manufacturing companies. The groups especially interested in the industry 4.0 implementation are operations, technical and production directors responsible for operational excellence of manufacturing plants, strategic development and business continuity. Based on latest Industry 4.0 and manufacturing technology market research, factories located in Poland are less technologically advanced than its counterparts in West European plants. Accordingly, development of the model for assessing the current level of maturity for manufacturing technology related to Industry 4.0 initiative becomes a relevant research task. In the article, key Industry 4.0 related technological areas will be described. Based on the extensive research into international references and industrial consulting experiences in industrial business consulting conducted in Polish manufacturing companies, the manufacturing technology ManuTech Maturity Model (MTMM) concept related to Industry 4.0 will be developed and presented. A substantial and innovative part of the article will be devoted to the adjustment of proposed maturity model to specific features of the Polish industrial and manufacturing sector. This will be relevant due to noticeable differences in the level of technological advancement between Western and Eastern Europe sectors.
AGH University of Krakow Press
2019-04-01 19:19:22
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2779
Decision Making in Manufacturing and Services; Vol. 12 (2018): No. 1-2
eng
Copyright (c) 2019 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2785
2021-07-29T22:34:09Z
dmms:Art
driver
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"201230 2020 eng "
2300-7087
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Modelling & Simulation as a Strategic Tool for Decision-Making Process: A Dairy Case Study
Eccher, Cristiani
Dublin City University https://orcid.org/0000-0002-6357-8606 http://orcid.org/0000-0002-6357-8606
Geraghty, John
Dublin City University
The Dairy Industry faces many challenges compared to other sectors. On the supply side due to the nature of the raw material, large inventories are not applied; during the manufacturing process, the continuous production is highly sensitive to any sort of unplanned disruption; and on the demand side, the market dictates the commodity prices. In response to the growth in competition, dairy organizations’ strategy must incorporate technology into their daily processes in order to become more efficient, profitable and sustainable. To achieve desired levels of improvement, Modelling and Simulation has been increasing in popularity in the decision-making process. Using a Dairy company as a case study, this paper has highlighted the potential for Modelling and Simulation to be used as a powerful strategic tool for decision-making processes.
AGH University of Krakow Press
2020-12-30 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/2785
Decision Making in Manufacturing and Services; Vol. 14 No. 1 (2020)
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/2788
2020-07-02T13:07:52Z
dmms:Art
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"200427 2020 eng "
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The preferable ways of decision-making in IT teams
Krawczyk-Bryłka, Beata
Gdansk University of Technology,
Faculty of Management and Economics
Krawczyk, Henryk
Gdansk University of Technology,
Faculty of Telecommunications and Informatics
Software development team collaboration requires various decisions regarding essential aspects of a project’s progress. General and particular decision-making models are considered, and their main aspects such as team types, problem solving categories, and decision-making ways are analysed. The research concerns representative groups of IT specialists and their preferences in decision-making are investigated. Four possible cases were tested: hierarchical choice (by leader) team members' choice (team consensus or voting) and external expert impact. It allows one to show some differences in behaviors of traditional and virtual teams.
AGH University of Krakow Press
2020-04-27 00:00:00
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https://journals.agh.edu.pl/dmms/article/view/2788
Decision Making in Manufacturing and Services; Vol. 13 (2019): No. 1-2
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3328
2020-07-02T13:07:52Z
dmms:Art
driver
nmb a2200000Iu 4500
"200427 2020 eng "
2300-7087
1896-8325
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The application of the multiple criteria decision making/aiding methodology to evaluation and redesign of logistics systems
Żak, Jacek
The paper presents the methodological background of Multiple Criteria Decision Making/Aiding (MCDM/A) and its practical application in logistics systems. It explains why MCDM/A methodology is important while dealing with different categories of decision problems that arise in those systems. Major features and basic notions of MCDM/A methodology are presented. Different categories of MCDM/A methods are characterized and classified. Two case studies demonstrate possible applications of MCDM/A methodology in logistics. In the first case study multiple objective optimization of the distribution system is carried out and compared with the single objective optimization. The decision problem is formulated as multiple criteria mathematical programming problem and solved by an extended version of MS Excel Solver – Premium Solver Plus. The second case study focuses on the multiple criteria evaluation and ranking of the logistics infrastructure objects, i.e. a set of warehouses – distribution centers. The decision problem is formulated as a multiple criteria ranking problem and solved with an application of ELECTRE III/IV method.
AGH University of Krakow Press
2020-04-27 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/3328
Decision Making in Manufacturing and Services; Vol. 13 (2019): No. 1-2
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3470
2020-07-02T13:07:52Z
dmms:Art
driver
nmb a2200000Iu 4500
"200427 2020 eng "
2300-7087
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A MILP model for the selective solid waste collection routing problem
Korcyl, Antoni
AGH University of Science and Technology, Krakow, Poland
Gdowska, Katarzyna
AGH University of Science and Technology, Krakow, Poland http://orcid.org/0000-0002-7964-3724
Książek, Roger
AGH University of Science and Technology, Krakow, Poland
Nowadays, in the European Union selective solid waste management be-longs to important responsibilities of municipalities. In Solid Waste Management (SWM) the main operational task is to set a schedule for solid waste collection and to find optimal routes for garbage trucks so that the total costs of solid waste collection service can be minimized subject to a series of constraints which guarantee not only fulfillment of SWM’s obligations but also desirable level of quality of that service. Optimization problem of garbage trucks routing is a special case of rich Vehicle Routing Problem as it has to cover following constraints: pickup nodes (clients) must be visited during their predefined time windows; the number and capacity of depots and specialized sorting units can-not be exceeded; each garbage truck can be assigned to at most one depot; each route should be dedicated to collecting one type of segregated solid waste, and the route must be served by a garbage truck which can collect that type of solid waste; availability of garbage trucks and their drivers must be respected; each garbage truck must be drained at a specialized sorting unit before going back to the depot. This paper contributes with a new Mixed-Integer Programming (MIP) model for the Selective Solid Waste Collection Routing Problem (SS-WCRP) with time windows, limited heterogeneous fleet, and different types of segregated solid waste to be collected separately. Utilization of MIP for solving small-sized instance of the Fleet Optimization Problem for Selective Solid Waste Collection (FOPSSWC) is and obtained results are reported.
AGH University of Krakow Press
2020-04-27 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/3470
Decision Making in Manufacturing and Services; Vol. 13 (2019): No. 1-2
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3473
2020-07-02T13:07:52Z
dmms:Art
driver
nmb a2200000Iu 4500
"200427 2020 eng "
2300-7087
1896-8325
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Support of decision-making under risk by a risk-averse decision-maker
Łodziński, Andrzej
Faculty of Applied Informatics and Mathematics
Chair of Econometrics and Computer Science
Warsaw University of Life Sciences
The paper presents the decision support under risk by the risk averse decision maker. Decision making under risk occurs when the result of the decision is not unequivocal and depends on the state of the environment. The decision making process is modeled with the use of multi-criteria optimization. The decision is made by solving the problem with the control parameters that determine the decision maker's aspirations and the evaluation of the solutions received. The decision maker asks the parameter for which the solution is determined. Then, evaluate the solution received accepting or rejecting it. In the second case, the decision maker gives a new parameter value and the problem is solved again for the new parameter. The work includes an simple discrete problem of decision support under risk
AGH University of Krakow Press
2020-04-27 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/3473
Decision Making in Manufacturing and Services; Vol. 13 (2019): No. 1-2
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3648
2021-07-29T22:34:09Z
dmms:Art
driver
nmb a2200000Iu 4500
"201230 2020 eng "
2300-7087
1896-8325
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Impact of government policies on Sustainable Petroleum Supply Chain (SPSC): A case study – Part I (Models)
Ghahremanlou, Davoud
Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, NL, Canada https://orcid.org/0000-0001-5186-8035
Kubiak, Wieslaw
Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, NL, Canada
Environmental concerns and energy security have led governments to establish legislations to convert
Conventional Petroleum Supply Chain (CPSC) to Sustainable Petroleum Supply Chain (SPSC). The United States
(US), one of the biggest oil consumers in the world, has created regulations to manage ethanol production and con-
sumption for the last half century. Though these regulations have created new opportunities, they have also added new
burdens to the obligated parties. It is thus key for the government, the obligated parties, and related businesses to study
the impact of the policies on the SPSC. We develop a two-stage stochastic programming model, General Model (GM),
which incorporates Renewable Fuel Standard 2 (RFS2), Tax Credits, Tariffs, and Blend Wall (BW) to study the policy
impact on the SPSC using cellulosic ethanol. The model, as any other general model available in the literature, makes
it highly impractical to study the policy impact due to the model’s computational complexity. We use the GM to derive
a Lean Model (LM) to study the impact by running computational experiments more efficiently and consequently by
arriving at robust managerial insights much faster. We present a case study of the policy impact on the SPSC in the
State of Nebraska using the LM in the accompanying part II (Ghahremanlou and Kubiak 2020).
AGH University of Krakow Press
2020-12-30 00:00:00
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https://journals.agh.edu.pl/dmms/article/view/3648
Decision Making in Manufacturing and Services; Vol. 14 No. 1 (2020)
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3649
2021-07-29T22:34:09Z
dmms:Art
driver
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"201230 2020 eng "
2300-7087
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Impact of government policies on Sustainable Petroleum Supply Chain (SPSC): A case study – Part II (The State of Nebraska)
Ghahremanlou, Davoud
Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, NL, Canada https://orcid.org/0000-0001-5186-8035
Kubiak, Wieslaw
Faculty of Business Administration, Memorial University of Newfoundland, St. John’s, NL, Canada https://orcid.org/0000-0002-3181-3042
The accompanying part I (Ghahremanlou and Kubiak 2020) developed the Lean Model (LM), a two-stage stochastic programming model which incorporates Renewable Fuel Standard 2 (RFS2), Tax Credits, Tariffs, and Blend Wall (BW), to study the policy impact on the Sustainable Petroleum Supply Chain (SPSC) using cellulosic ethanol. The model enables us to study the impact by running computational experiments more efficiently and consequently by arriving at robust managerial insights much faster. In this paper, we present a case study of the policy impact on the SPSC in the State of Nebraska using the model. The case study uses available real-life data. The study shows that increasing RFS2 does not impact the amount of ethanol blended with gasoline but it might lead to bankruptcy of the refineries. We recommend that the government consider increasing the BW because of its positive economic, environmental and social impacts. For the same reason, we recommend that the tax credit for blending the US produced ethanol with gasoline be at least 0:189 $/gal and the tariff for imported ethanol be at least 1:501 $/gal. These also make the State independent from foreign ethanol thereby enhancing its energy security. Finally, the change in policy impacts the SPSC itself, most importantly it influences the strategic decisions, however setting up a bio-refinery at York county and a blending site at Douglas county emerge as the most robust location decisions against the policy change in the study.
AGH University of Krakow Press
2020-12-30 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/3649
Decision Making in Manufacturing and Services; Vol. 14 No. 1 (2020)
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3650
2021-07-29T22:34:31Z
dmms:Art
driver
nmb a2200000Iu 4500
"210127 2021 eng "
2300-7087
1896-8325
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Cooperation platform for distributed manufacturing
Pietroń, Roman
Wroclaw University of Science and Technology, Dept. of Operations Research and Business Intelligence http://orcid.org/0000-0002-8191-8889
The aim of the paper is to analyse contemporary trends in distributed manufacturing (DM) research and to present a concept to develop and test some task allocation, planning and scheduling algorithms for DM network organisations. Some concepts to identify key factor criteria and reasoning policies and rules for production/manufacturing decision support system are also undertaken. And finally, an aim is to draw a proposal for a development of a prototype decision support system with necessary communication and knowledge oriented modules to be implemented in an example of dynamic, DM and logistics network structure, particularly for very popular dynamic cluster forms in Poland. The developed concept of the organization of a multi-entity DM network will enable business-effective use of the system, supporting manufacturing decision making, consulting and offering information services in the control centre (the so-called Competence Centre) by constructing virtual reality and access to services in a distributed network of cloud computing type. Integration of the whole system into one information system will enable analysis and network resource optimization of manufacturing and logistics processes, new analytical functions, reduction of delays in the manufacturing system, management of changes and risks, and visualization of the current state of the DM system.
AGH University of Krakow Press
2021-01-27 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/3650
Decision Making in Manufacturing and Services; Vol. 14 No. 2 (2020)
eng
Copyright (c) 2021 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3714
2021-07-29T22:34:09Z
dmms:Art
driver
nmb a2200000Iu 4500
"201230 2020 eng "
2300-7087
1896-8325
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Simulation of the Impact of Waste Batteries on Ecosystem Reliability
Petrov, Alexander
AGH University of Science and Technology http://orcid.org/0000-0001-9453-0755
Pohrebennyk, Volodymyr
Lviv Polytechnic National University http://orcid.org/0000-0002-1491-2356
Shybanova, Alla
Lviv Polytechnic National University http://orcid.org/0000-0002-1491-2356
Ruda, Mariia
Lviv Polytechnic National University http://orcid.org/0000-0002-1491-2356
To assess the impact of not just the battery as such but its multi-element composition on the state of the environment, a new approach is proposed through the determination of the reliability of ecosystems, which makes it possible to obtain quantitative indexes of the stability and losses of natural ecosystems. These data can be used as indicators of the state of the environment, and hence as the assessment of an environmental component that is important for determining the actual impact of the multi-element composition of batteries. On the basis of such indicators, which can be obtained using the SimaPro software, it is possible to calculate thresholds beyond which negative phenomena occur, as well as to predict and simulate situations, to carry out the mapping of sources of risks, to monitor changes, and this will allow identifying the causes of these changes or determining the factors that slow down or retard the approach of ecosystems to a critical state, i.e. to develop preventive measures to avoid disasters. The eco-indicator 99 is one of the methods that allows us to accept one estimate for the whole product - the so-called ecological index. It is the sum of all individual eco-points or partial indexes for all life-cycle processes. The computational procedure is carried out by summing up the results of weighing the phases of the life cycle.
AGH University of Krakow Press
2020-12-30 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/3714
Decision Making in Manufacturing and Services; Vol. 14 No. 1 (2020)
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3809
2021-07-29T22:34:09Z
dmms:Art
driver
nmb a2200000Iu 4500
"201230 2020 eng "
2300-7087
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The Application of genetic algorithms for the selection of WSE companies in Warsaw for the investment portfolio.
Basiura, Beata
AGH University of Science and Technology https://orcid.org/0000-0002-5753-4893
Motyczyńska, Joanna
Portfolio analysis is a tool particularly intended for investors. Risk assessment and risk specification make the investor able to properly diversify and offset the portfolio. Broadly speaking, there are multiple tools destined for building up an efficient set of portfolios.
One of them is Markowitz’s model theory postulating building up a portfolio determined on the basis of equilibrium between expected profit level as well as accepted level of risk assessment.
In the context of this paper, the objective is to shed some light on creating investment portfolios based on either Markowitz's portfolio theory or evolutionary algorithm. The simulation based methods for building up a portfolio of approximately 40-50 companies listed out in the primary marketof the Warsaw Stock Exchange using the selection function proposed in the BA thesis were presented.
Portfolio profit values have been evaluated in a dynamically shifted time window. The conducted analysis showed shifts in the economy at certain periods of time. The implemented genetic algorithms smoothly handled the optimization with a relatively short processing time of the task result.
AGH University of Krakow Press
2020-12-30 00:00:00
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https://journals.agh.edu.pl/dmms/article/view/3809
Decision Making in Manufacturing and Services; Vol. 14 No. 1 (2020)
eng
Copyright (c) 2020 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3944
2021-07-29T22:34:31Z
dmms:Art
driver
nmb a2200000Iu 4500
"210127 2021 eng "
2300-7087
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Improving Fishery Management Models and Methods
Arnarson, Ingólfur
Bifrost University
Jensson, Pall
Reykjavik University
In a dynamic, environment, the decision makers make use of many different resources where two or more can act as substitutes. At each decision moment in time, the market prices will be constant, and the relative prices of accessible resources will determine the economic rationale of the process. Ignoring or downplaying the effects of substitutability of resources in dynamic economic processes may lead to mismanagement of the fish stocks and result in serious economic consequences for the respective fishing industries.
For nearly five decades’ fishery managers and policy makers have used bio-economic models and methods as foundation for their management schemes. These models and methods are for the most based on the deductive methodology of economics where central assumptions are the metaphors of “equilibrium“ and “bio-economic equilibrium“. Models based on equilibrium theories are usually deterministic where dynamics of the markets are a meager part of the problem.
Less attention has been offered to inductive reasoning and modeling within the field of fishery management. The inductive method of reasoning is often based on facts and actual observations within the industries, a methodology widely used by engineers and the field of business administration.
In this paper, we introduce and integrate the concept of substitutability of economic resources into a traditional bio-economic model. The results show that fishery management, which bases decisions solely on traditional bio-economic models where the dynamics and consequences of the operational decision processes of the industry are ignored, may reach decisions that work opposite of their intention.
AGH University of Krakow Press
2021-01-27 00:00:00
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https://journals.agh.edu.pl/dmms/article/view/3944
Decision Making in Manufacturing and Services; Vol. 14 No. 2 (2020)
eng
Copyright (c) 2021 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/3993
2021-07-29T22:34:31Z
dmms:Art
driver
nmb a2200000Iu 4500
"210127 2021 eng "
2300-7087
1896-8325
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Project Team in Project Management Methodologies
Peszko, Agnieszka
AGH University of Science and Technology
The specific nature of project management causes that the selection of the right people to join the project team has become crucial to the success of any project. The present study aims at showing the role of a well-chosen project team in the project management regardless of whether the project is run according to traditional or agile methodologies. Special attention has been paid to the decision making process in project team with the use of traditional and agile methodologies. In case of traditional, classical methodologies, more efficient are teams of highly qualified specialists, which are able to make decisions, more often individual ones, as quickly as possible and precisely. Given the fact that in agile methodologies there is greater decisiveness of the team, group decisions are made more often. Management’s confidence in project team is of vital importance in agile methodologies. In order to fulfill the aim of the study, traditional and agile methodologies for project management have been briefly characterized, the process of project team building and the results of scientific research pointing to significant role of the project team in project management have been presented. It has been stressed out that, regardless of the chosen methodology, while selecting project team members it is important to consider not only members’ knowledge or experience, but also relevant personality traits and interpersonal skills (social skills). However, it should be pointed out that given the specific nature of the agile methodologies, social skills of team members become incredibly important, and in many cases more important than professional competences.
AGH University of Krakow Press
2021-01-27 00:00:00
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https://journals.agh.edu.pl/dmms/article/view/3993
Decision Making in Manufacturing and Services; Vol. 14 No. 2 (2020)
eng
Copyright (c) 2021 Decision Making in Manufacturing and Services
oai:ojs.journals.agh.edu.pl:article/4379
2021-07-29T22:34:31Z
dmms:Art
driver
nmb a2200000Iu 4500
"201231 2020 eng "
2300-7087
1896-8325
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Credit Risk Management Using Automatic Machine Learning
Gaweł, Bartłomiej
AGH University of Science and Technology in Krakow
Paliński, Andrzej
AGH University of Science and Technology in Krakow
The article presents the basic techniques of data mining implemented in typical commercial software. They were used to assess the risk of credit card debt repayment. The article assesses the quality of classification models derived from data mining techniques and compares their results with the traditional approach using a logit model to assess credit risk. It turns out that data mining models provide similar accuracy of classification compared to the logit model, but they require much less work and facilitate the automation of the process of building scoring models.
AGH University of Krakow Press
2021-01-27 00:00:00
application/pdf
https://journals.agh.edu.pl/dmms/article/view/4379
Decision Making in Manufacturing and Services; Vol. 14 No. 2 (2020)
eng
Copyright (c) 2021