Concept of Industry 4.0-Related Manufacturing Technology Maturity Model (ManuTech Maturity Model – MTMM)
DOI:
https://doi.org/10.7494/dmms.2018.12.1-2.17Keywords:
Industry 4.0, smart factory, manutech maturity modelAbstract
The main objective of this article is to describe Industry 4.0 and the key manufacturing-technology-related technological and business challenges for manufacturing companies. The groups especially interested in the implementation of Industry 4.0 are the operations, technical, and production directors responsible for operational excellence of manufacturing plants, strategic development, and business continuity. Based on the latest Industry 4.0 and manufacturing technology market research, factories located in Poland are less technologically advanced than their counterparts in Western European plants. Accordingly, development of the model for assessing the current level of maturity for manufacturing technology related to the Industry 4.0 initiative becomes a relevant research task. In the article, key Industry 4.0-related technological areas will be described. Based on extensive research into international references and industrial consulting experiences in the 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 a proposed maturity model to specific features of the Polish industrial and manufacturing sector. This will be relevant due to the noticeable differences in the levels of technological advancement between the Western and Eastern Europe sectors.
References
Bauer H., Baur C., Mohr D., Tschiesner A., Weskamp T. & Mathis R. (2016). Industry 4.0 after the initial hype: Where manufacturers are finding value and how they can best capture it. McKinsey Digital. URL: McKinsey & Company.
Becker J., Knackstedt R. & Pöppelbuß J. (2009). Developing maturity models for IT management: A procedure model and its application. Business & Information Systems Engineering, 1(3), pp. 213–222. DOI: https://doi.org/10.1007/s12599-009-0044-5.
Chand S., Davis J., Gilchrist A., Wee D., Kelly R. & Lopez R. (2016). Industry 4.0. McKinsey & Company.
de Bruin T., Freeze R., Kulkarni U. & Rosemann M. (2005). Understanding the main phases of developing a maturity assessment model. In: ACIS 2005 Proceedings – 16th Australasian Conference on Information Systems, Paper 109.
Fasth-Berglund Å. & Stahre J. (2013). Cognitive automation strategy for reconfigurable and sustainable assembly systems. Assembly Automation, 33(3), pp. 294–303. DOI: https://doi.org/10.1108/AA-12-2013-036.
Gartner Inc. (2015). Hype Cycle for Emerging Technologies, 2015. Stamford, CT: Gartner.
Geisberger E. & Broy M. (Eds.). (2012). agendaCPS: Integrierte Forschungsagenda Cyber-Physical Systems. acatech STUDIE, vol. 1. Berlin–Heidelberg: Springer. DOI: https://doi.org/10.1007/978-3-642-29099-2.
Geissbauer R., Vedsø J. & Schrauf S. (2016). Industry 4.0: Building the Digital Enterprise. 2016 Global Industry 4.0 Survey. PwC, pp. 1–36.
Roland Berger Strategy Consultants. (2014). Industry 4.0: The New Industrial Revolution – How Europe Will Succeed. Munich: Roland Berger Strategy Consultants.
Gill M. & VanBoskirk S. (2016). The Digital Maturity Model 4.0: Benchmarks: Digital Business Transformation Playbook. Cambridge, MA: Forrester Research.
Götz M. & Gracel J. (2017). Przemysł czwartej generacji (Industry 4.0) – wyzwania dla badań w kontekście międzynarodowym. Kwartalnik Naukowy Uczelni Vistula, 1(51), pp. 217–235.
Gracel J., Stoch M. & Biegańska A. (2017). Inżynierowie Przemysłu 4.0. (Nie)gotowi do zmian? Kraków: ASTOR.
Guth W.D. & MacMillan I.C. (1986). Strategy implementation versus middle management self-interest. Strategic Management Journal, 7(4), pp. 313–327. DOI: https://doi.org/10.1002/smj.4250070403.
Hajkuś J. & Gracel J. (2015). W jakie technologie inwestują firmy produkcyjne w Polsce? Raport. Kraków: ASTOR.
Hermann M., Pentek T. & Otto B. (2016). Design principles for Industrie 4.0 scenarios. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 3928–3937. IEEE. DOI: https://doi.org/10.1109/HICSS.2016.488.
Kagermann H., Wahlster W. & Helbig J. (2013). Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Securing the Future of German Manufacturing Industry. Final Report of the Industrie 4.0 Working Group. Frankfurt am Main: Forschungsunion and acatech.
Kohlegger M., Maier R. & Thalmann S. (2009). Understanding maturity models: Results of a structured content analysis. In: Proceedings of I-KNOW ’09 and I-SEMANTICS ’09, 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. Aachen–Cologne: IMPULS-Stiftung des VDMA.
McKinsey & Company and Forbes. (2016). Cyfrowa Polska: Szansa na technologiczny skok do globalnej pierwszej ligi gospodarczej. Raport. McKinsey & Company.
Mettler T. (2010). Supply-Management im Krankenhaus: Konstruktion und Evaluation eines konfigurierbaren Reifegradmodells zur zielgerichteten Gestaltung. Göttingen: Sierke Verlag.
Mettler T. (2011). Maturity assessment models: A design science research approach. International Journal of Society Systems Science, 3(1/2), pp. 81–98. DOI: https://doi.org/10.1504/IJSSS.2011.038934.
Monostori L., Kádár B., Bauernhansl T., Kondoh S., Kumara S., Reinhart G., Sauer O., Schuh G., Sihn W. & Ueda K. (2016). Cyber-physical systems in manufacturing. CIRP Annals – Manufacturing Technology, 65(2), pp. 621–641. DOI: https://doi.org/10.1016/j.cirp.2016.06.005.
Mueller A. & Karevska S. (2016). EY’s Global 3D Printing Report 2016: Executive Summary. Ernst & Young GmbH.
Nof S.Y. (Ed.). (2009). Springer Handbook of Automation. Berlin–Heidelberg: Springer. DOI: https://doi.org/10.1007/978-3-540-78831-7.
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. Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University. DOI: https://doi.org/10.21236/ADA263403.
Peters S., Chun J.-H. & Lanza G. (2016). Digitalization of automotive industry – scenarios for future manufacturing. Manufacturing Review, 3, Article 1, pp. 1–8. DOI: https://doi.org/10.1051/mfreview/2015030.
Proença D. & Borbinha J. (2016). Maturity models for information systems – A state of the art. Procedia Computer Science, 100, pp. 1042–1049. DOI: https://doi.org/10.1016/j.procs.2016.09.279.
PwC. (2016). The Industry 4.0/Digital Operations Self-Assessment. Internet assessment tool.
Rockwell Automation. (2014). The Connected Enterprise Maturity Model. Rockwell Automation.
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. Warszawa: Państwowe Wydawnictwo Naukowe.
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. DOI: https://doi.org/10.1016/j.procir.2016.07.040.
de Weck O.L. & 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. Cambridge, MA: MIT Press. DOI: https://doi.org/10.7551/mitpress/9780262019927.003.0009.
Wee D., Kelly R., Cattell 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 organisation: A holistic view developing a framework for business process orientation maturity. In: Alonso G., Dadam P. & Rosemann M. (Eds.), Business Process Management. BPM 2007. Lecture Notes in Computer Science, 4714, pp. 1–15. Berlin–Heidelberg: Springer. DOI: https://doi.org/10.1007/978-3-540-75183-0_1.
