The Concept of Industry 4.0 Related Manufacturing Technology Maturity Model (Manutech Maturity Model, MTMM)

Jaroslaw Gracel, Piotr Łebkowski

Abstract


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.


Keywords


Industry 4.0; smart factory; manutech maturity model;

Full Text:

PDF

References


Bauer, H., Baur, C., Mohr, D., Tschiesner, A., Weskamp, T., Mathis, R., 2016. Industry 4.0 after the initial hype. McKinsey Digital.

Becker, J., Knackstedt, R., Pöppelbuß, J., 2009. Developing Maturity Models for IT Management. Business & Information Systems Engineering, 1(3), pp. 213–222.

Chand, S., Davis, J., Gilchrist, A., Wee, D., Kelly, R., Lopez, R., 2016. Industry 4.0. McKinsey & Company, 8(1), pp. 4–7.

De Bruin, T., Freeze, R., Kaulkarni, U., Rosemann, M., 2005. Understanding the Main Phases of Developing a Maturity Assessment Model. In: Australasian Conference on Information Systems (ACIS), pp. 8–19.

Fasth-Berglund, Å., Stahre, J., 2013. Cognitive automation strategy for reconfigurable and sustainable assembly systems. Assembly Automation, 33, pp. 294–303. Gartner Inc., 2015. Hype Cycle for Emerging Technologies. Gartner Inc.

Geisberger, E., Broy, M. (eds.), 2012. agendaCPS – Integrierte Forschungsagenda Cyber- -Physical Systems. Acatech STUDIE, vol. 1, Springer, Berlin–Heidelberg.

Geissbauer, R., Vedso, J., Schrauf, S., 2016. Industry 4.0: Building the digital enterprise. PwC, pp. 1–36.

Gilchrist, A., 2014. Industry 4.0. Roland Berger (March).

Gill, M., Van Boskirk, S., 2016. The Digital Maturity Model 4.0. Forrester.

Goetz, M., Gracel, J., 2017. Przemysł czwartej generacji (Industry 4.0) – wyzwania dla badan w kontekscie miedzynarodowym. Kwar, 1(51), pp. 217–235.

Gracel, J., Stoch, M., Bieganska, A., 2017. Inżynierowie Przemysłu 4.0. (Nie)gotowi do zmian? Astor, Kraków.

Guth, D.W., Macmillian, C., 1986. Strategy Implementation versus Middle Managements Self-interest. Strategic Management Journal, 7(4), pp. 313–327.

Hajkus, J., Gracel, J., 2015. W jakie technologie inwestują firmy produkcyjne w Polsce? Raport. Astor, Kraków.

Hermann, M., Pentek, T., Otto, B., 2015. Design Principles for Industrie 4.0. Scenarios: A Literature Review. Working Paper 1/2015. Technische Universität Dortmund.

Kagermann, H., 2013. Securing the Future of German Manufacturing Industry. Recommendations for implementing the strategic Initiative Industrie 4.0. In: Acatech, Final Report of the Industrie 4.0 Working Group (April), pp. 4–7.

Kohlegger, M., Maier, R., Thalmann, S., 2009. Understanding maturity models results of a structured content analysis. Proceedings of IKNOW ’09 and ISEMANTICS ’09, (September), pp. 51–61.

Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K., Schmitz, E., Schröter, M., 2015. IMPULS – Industrie 4.0 Readiness. Impuls-Stiftung des VDMA, Aachen.

McKinsey & Company & Forbes, 2016. Cyfrowa Polska (report). McKinsey & Company. Mettler, T., 2010. Supply Management im Krankenhaus – Konstruktion und Evaluation eines konfigurierbaren Reifegradmodells zur zielgerichteten Gestaltung. Dissertation der Universität st. Gallen, Hochschule für Wirtschafts-, Rechts- und Sozialwissenschaften (HSG) zur Erlangung der Würde eines Doktors der Wirtschaftswissenschaften. Sierke Verlag, Göttingen.

Mettler, T., 2011. Maturity assessment models: a design science research approach. International Journal of Society Systems Science, 3(1/2), pp. 81–98.

Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sinh, W., Ueda, K., 2016. Cyber-physical systems in manufacturing. CIRP Annals – Manufacturing Technology, 65(2), pp. 621–641.

Mueller, A., Karevska, S., 2016. EY’s Global 3D printing Report 2016 – Executive Summary. Ernst & Young GmbH.

Nof, S., 2009. Handbook of Automation. Computation and Control. Springer Verlag. Nowacki, P., 1953. Automatyzacja procesów wytwórczych. Przegląd Elektrotechniczny, 1, pp. 1–17.

Owerczuk, M., 2016. Przemysł 4.0. Szansa czy zagrożenie dla rozwoju innowacyjnej gospodarki? Boston Consulting Group.

Paulk, M.C., Curtis, B., Chrissis, M.B., Weber, C.V., 1993. Capability Maturity Model for Software, Version 1.1. Technical Report CMU/SEI-93-TR-024 ESC-TR-93-177, February 1993, Carnegie Mellon University.

Peters, S., Chun, J.-H., Lanza, G., 2016. Digitalization of automotive industry – scenarios for future manufacturing. Manufacturing Review, 3(1), pp. 6–7.

Proença, D., Borbinha, J., 2016. Maturity Models for Information Systems – A State of the Art. Procedia Computer Science, 100(2), pp. 1042–1049.

PwC, 2016. The Industry 4.0 / Digital Operations Self-Assessment. https:// i4selfassessment.pwc.de/i40/landing/ (accessed on: 16 August 2017). Rockwell Automation, 2014. The Connected Enterprise Maturity Model, 12. http://www.rockwellautomation.com/rockwellautomation/innovation/ connected-enterprise/maturity-model.page? (accessed on: 16 August 2017).

Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., Harnisch, M., 2015. Industry 4.0. The Future of Productivity and Growth in Manufacturing Industries. Boston Consulting Group.

Schulz, Z., 1962. Efektywność ekonomiczna automatyzacji produkcji przemysłowej. Państwowe Wydawnictwo Naukowe, Warszawa.

Schumacher, A., Erol, S., Sihn, W., 2016. A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, 52, pp. 161–166.

Weck, O.L. de, Reed, D., 2014. Trends in Advanced Manufacturing Technology Innovation. In: Locke, R.M., Wellhausen, R.L. (eds.), Production in the Innovation Economy, pp. 235–262.

Wee, D., Kelly, R., Cattel, J., Breunig, M., 2015. Industry 4.0 – How to navigate digitization of the manufacturing sector. McKinsey & Company.

Willaert, P., Van den Bergh, J., Willems, J., Deschoolmeester, D., 2007. The Process-Oriented Organization: Holistic View Developing a Framework for business process orientation maturity. In: Business Process Management – 5th International Conference, BPM 2007, Brisbane, Australia, September 24–28, 2007, Proceedings. Alonso, G., Dadam, P., Rosemann, M. (eds.). Springer-Verlag, Berlin – Heidelberg.


Refbacks

  • There are currently no refbacks.