https://journals.agh.edu.pl/dmms/issue/feed 2024-07-29T17:02:08+02:00 Katarzyna Gdowska dmms@agh.edu.pl Open Journal Systems <p><img src="https://journals.agh.edu.pl/public/site/images/kgdowska/decision-white.jpg" alt="" width="100" height="138" align="left" /><strong>De</strong><strong>cision Making in Manufacturing and Services</strong> (p-ISSN 1896-8325, e-ISSN 2300-7087) is a peer-reviewed, annual journal dedicated to publishing papers of interest to the entire Decision Making community, including academic and industry researchers and decision makers working at the interface of research and implementation in manufacturing and services. DMMS objective is to serve the entire Decision Making community, including academic and industry researchers and decision makers working at the interface of research and implementation in manufacturing and services. The journal encourages a variety of methodological approaches to decision making in manufacturing and services. The papers may be theoretical or empirical, analytical or computational, and may be based on a variety of disciplinary foundations such as management, economics, operations research, computer science, engineering, psychology, etc. The DMMS also publishes state of the art reports by invited authors, critical reviews and special issues devoted to particular topics.</p> https://journals.agh.edu.pl/dmms/article/view/6054 2024-01-31T11:26:37+01:00 Dariusz Sala sala@agh.edu.pl Pavlo Pikulin pavel@deusrobotics.com Valentyn Sobchuk sobchuk@knu.ua Igor Kotsan ikotsan@agh.edu.pl

<p>The study is devoted to the problems of using modern advanced technologies by logistics companies aimed at increasing the speed of technological operations and transforming business processes aimed at reducing financial costs, increasing the efficiency of the use of labour resources, and minimizing risks. Today, this is a decisive factor in increasing the company's competitiveness in the market, increasing profitability, and realizing long-term leadership. Innovative logistics is an effective tool for streamlining flow processes through the introduction of high-tech innovations in the operational and strategic management of market structures, which are aimed at improving the quality of customer service, increasing the efficiency of flow processes and reducing the total cost of their implementation in order to achieve key business objectives.<br />The paper examines approaches to the automation of business processes in the logistics sector, in the context of robotization of technological operations, taking into account the features due to the functioning of enterprises under the conditions of constant exposure to extreme risks. The concept of robotization of processes has been developed, which will increase the productivity and efficiency of business, help reduce operating costs, reduce the likelihood of personnel errors and contribute to improving business security. The results are implemented in the practice of a number of logistics companies in the real sector of the economy.</p>

2024-07-29T00:00:00+02:00 Copyright (c) 2024 Decision Making in Manufacturing and Services https://journals.agh.edu.pl/dmms/article/view/6227 2024-04-18T11:49:38+02:00 Marcin Nakielski nakielsk@agh.edu.pl Anna Ludwig annaludwig01@wp.pl

<p>Six Sigma is a widely adopted method in various industries that is aimed at process improvement and quality management. Understanding Six Sigma's evolving interest and utilization can provide valuable insights into its current significance and prospects. Using data from Google Trends, Google Books, Web of Science, and Scopus, this study examined the search volumes and interests in keywords and phrases that were related to Six Sigma over a specified period. The global analysis revealed the overall direction of interest in Six Sigma worldwide, highlighting periods of peak interest and potential significant shifts in the method’s popularity. By identifying those times with the highest concentrations of interest, the article provides a deeper understanding of the adoption and perception of Six Sigma. On top of this, Six Sigma was compared in popularity (by trends) with other known methods such as Lean, Kaizen, PDCA, and TQM. This research contributes to the existing body of knowledge by shedding light on the current trends and future directions of Six Sigma globally. The findings offer valuable insights for practitioners, researchers, and organizations that seek to leverage Six Sigma for process improvements and quality management.</p>

2024-07-29T00:00:00+02:00 Copyright (c) 2024 Decision Making in Manufacturing and Services