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Concept of Industry 4.0-Related Manufacturing Technology Maturity Model (ManuTech Maturity Model – MTMM)

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EN
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EN
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.
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17--31
Opis fizyczny
Bibliogr. 37 poz., rys., tab.
Twórcy
autor
  • AGH University of Science and Technology, Faculty of Management, Krakow, Poland
  • AGH University of Science and Technology, Faculty of Management, Krakow
Bibliografia
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  • [3] Chand, S., Davis, J., Gilchrist, A., Wee, D., Kelly, R., Lopez, R., 2016. Industry 4.0. McKinsey & Company, 8(1), pp. 4–7.
  • [4] 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.
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  • [6] Gartner Inc., 2015. Hype Cycle for Emerging Technologies. Gartner Inc.
  • [7] Geisberger, E., Broy, M. (eds.), 2012. agendaCPS – Integrierte Forschungsagenda Cyber-Physical Systems. Acatech STUDIE, vol. 1, Springer, Berlin–Heidelberg.
  • [8] Geissbauer, R., Vedso, J., Schrauf, S., 2016. Industry 4.0: Building the digital enterprise. PwC, pp. 1–36.
  • [9] Gilchrist, A., 2014. Industry 4.0. Roland Berger (March).
  • [10] Gill, M., Van Boskirk, S., 2016. The Digital Maturity Model 4.0. Forrester.
  • [11] Goetz, M., Gracel, J., 2017. Przemysł czwartej generacji (Industry 4.0) – wyzwania dla badań w kontekście międzynarodowym. Kwar, 1(51), pp. 217–235.
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  • [14] Hajkuś, J., Gracel, J., 2015. W jakie technologie inwestują firmy produkcyjne w Polsce? Raport. Astor, Kraków.
  • [15] Hermann, M., Pentek, T., Otto, B., 2015. Design Principles for Industrie 4.0. Scenarios: A Literature Review. Working Paper 1/2015. Technische Universität Dortmund.
  • [16] Kagermann, H., 2013. Securing the Future of German Manufaturing 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.
  • [17] 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.
  • [18] 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.
  • [19] McKinsey & Company & Forbes, 2016. Cyfrowa Polska (report). McKinsey & Company.
  • [20] 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.
  • [21] Mettler, T., 2011. Maturity assessment models: a design science research approach. International Journal of Society Systems Science, 3(1/2), pp. 81–98.
  • [22] 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.
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  • [26] Owerczuk, M., 2016. Przemysł 4.0. Szansa czy zagrożenie dla rozwoju innowacyjnej gospodarki? Boston Consulting Group.
  • [27] 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.
  • [28] Peters, S., Chun, J.-H., Lanza, G., 2016. Digitalization of automotive industry – scenarios for future manufacturing. Manufacturing Review, 3(1), pp. 6–7.
  • [29] Proença, D., Borbinha, J., 2016. Maturity Models for Information Systems – A State of the Art. Procedia Computer Science, 100(2), pp. 1042–1049.
  • [30] PwC, 2016. The Industry 4.0 / Digital Operations Self-Assessment. https://i4selfassessment.pwc.de/i40/landing/ (accessed on: 16 August 2017).
  • [31] 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).
  • [32] 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.
  • [33] Schulz, Z., 1962. Efektywność ekonomiczna automatyzacji produkcji przemysłowej. Państwowe Wydawnictwo Naukowe, Warszawa.
  • [34] 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.
  • [35] 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.
  • [36] Wee, D., Kelly, R., Cattel, J., Breunig, M., 2015. Industry 4.0 – How to navigate digitization of the manufacturing sector. McKinsey & Company.
  • [37] 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.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e2e2199a-8f2d-47d9-8764-a944dcb44fc9
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