Abstract
Industrie 4.0 is said to have major positive effects on productivity in manufacturing companies. However, these effects are not visible yet. One reason for this is the lack of understanding of maintenance services as a crucial value contributing partner in production processes, although scientific literature already highlighted the importance of indirect maintenance costs. In order to retrieve the unused potential of maintenance services, a digital shadow in form of a sufficiently precise digital representation is required, providing a data model for the value of maintenance actions so that asset and maintenance strategies can be optimized later on. Using case study research for process manufacturers, the first research contribution of this paper consists of 21 value contributing elements being identified. The second contribution is a reference processes model, showing seven major process steps as well as the required intra-organization interaction on an information technology system level. Therefore, it provides the base for the missing data model shaping the targeted digital shadow of maintenance services’ value contribution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lee, J.: Industrial AI. Applications with Sustainable Performance, 1st edn. Springer Singapore, Singapore (2020)
Schuh, G., Anderl, R., Gausemeier, J., ten Hompel, M., Wahlster, W. (eds.): Industrie 4.0 Maturity Index. Die Digitale Transformation von Unternehmen gestalten. Acatech Studie. Herbert Utz, München (2017)
Porter, M.E., Heppelmann, J.E.: How smart connected products are transforming competition. Harvard Bus. Rev. 92, 64–88 (2014)
Rammer, C., et al.: Produktivitätsparadoxon im Maschinenbau. Zentrum für Europäische Wirtschaftsforschung (ZEW); Fraunhofer-Institut für System- und Innovationsforschung (ISI), Mannheim/Karlsruhe (2018). http://www.impuls-stiftung.de/studien. Accessed 5 Mar 2020
Bienzeisler, B., Schletz, A.: Industrie 4.0 Ready Services. Technologietrends 2020, Stuttgart (2014)
Pawellek, G.: Integrierte Instandhaltung und Ersatzteillogistik. Vorgehensweisen, Methoden, Tools, 2nd edn. VDI-Buch. Springer Vieweg, Berlin (2016)
Milojevic, M., Nassah, F.: Digital Industrial Revolution with Predictive Maintenance. Are European businesses ready to streamline their operations and reach higher levels of efficiency? CXP Group (2018). https://www.sitsi.com/pacs-european-trend-study-digital-industrial-revolution-predictive-maintenance. Accessed 5 Mar 2020
Kuhn, A., Schuh, G., Stahl, B.: Nachhaltige Instandhaltung. Trends, Potenziale und Handlungsfelder nachhaltiger Instandhaltung; [Ergebnisbericht der vom BMBF geförderten Untersuchung “Nachhaltige Instandhaltung”]. VDMA, Frankfurt am Main (2006)
Lundgren, C., Skoogh, A., Bokrantz, J.: Quantifying the effects of maintenance – a literature review of maintenance models. Procedia CIRP 72, 1305–1310 (2018)
Roy, R., Stark, R., Tracht, K., Takata, S., Mori, M.: Continuous maintenance and the future – foundations and technological challenges. CIRP Ann. 65(2), 667–688 (2016)
Harland, T.: Gestaltung des Digitalen Schattens für Instandhaltungsdienstleistungen im Maschinen- und Anlagenbau, vol. 160, 1st edn. Schriftenreihe Rationalisierung. Apprimus, Aachen (2019)
Schuh, G., Jussen, P., Harland, T.: The digital shadow of services: a reference model for comprehensive data collection in MRO services of machine manufacturers. Procedia CIRP 73, 271–277 (2018)
Uhlemann, T.H.-J., Lehmann, C., Steinhilper, R.: The digital twin: realizing the cyber-physical production system for industry 4.0. Procedia CIRP 61, 335–340 (2017)
Schuh, G., et al.: Change request im produktionsbetrieb. In: Brecher, C., Klocke, F., Schmitt, R., Schuh, G. (eds.) Internet of Production für Agile Unternehmen. AWK Aachener Werkzeugmaschinen-Kolloquium 2017, 1st edn., pp. 109–131. Apprimus, Aachen (2017)
Bauernhansl, T., Krüger, J., Reinhart, G., Schuh, G.: WGP-Standpunkt Industrie 4.0 (2016). https://www.ipa.fraunhofer.de/content/dam/ipa/de/documents/Presse/Presseinformationen/2016/Juni/WGP_Standpunkt_Industrie_40.pdf. Accessed 4 Mar 2020
Bauernhansl, T., Hartleif, S., Felix, T.: The digital shadow of production – a concept for the effective and efficient information supply in dynamic industrial environments. Procedia CIRP 72, 69–74 (2018)
Schütte, R.: Grundsätze Ordnungsmäßiger Referenzmodellierung. Konstruktion Konfigurations- und Anpassungsorientierter Modelle. Neue Betriebswirtschaftliche Forschung, vol. 233. Gabler, Wiesbaden, s.l. (1998)
Lorenz, B.: Wertorientierte Gestaltung der Betrieblichen Instandhaltung, 1st edn. Schriftenreihe Rationalisierung, Bd. 109. Apprimus, Aachen (2011)
Biedermann, H. (ed.): Wertschöpfendes Instandhaltungs- und Produktionsmanagement. Erfolgreich durch Innovationen in Management und Technologie. Praxiswissen für Ingenieure: Instandhaltung. TÜV Media, Köln (2007)
Kallenberg, R.: Ein Referenzmodell für den Service in Unternehmen des Maschinenbaus. Schriftenreihe Rationalisierung und Humanisierung, Bd. 44. Shaker, Aachen (2002)
DIN Deutsches Institut für Normung e.V.: DIN 31051: Grundlagen der Instandhaltung. Beuth, Berlin (2019)
Eisenhardt, K.M.: Building Theories from Case Study Research. The Academy of Management Review 14(4), 532–550 (1989)
Parida, A., Kumar, U.: Maintenance productivity and performance measurement. In: Ait-Kadi, D., Ben-Daya, M., Duffuaa, S.O., Raouf, A., Knezevic, J. (eds.) Handbook of Maintenance Management and Engineering, 1st edn., pp. 17–41. Springer, London (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 IFIP International Federation for Information Processing
About this paper
Cite this paper
Birtel, F., Kampker, A., Stich, V. (2020). First Steps to the Digital Shadow of Maintenance Services’ Value Contribution. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. APMS 2020. IFIP Advances in Information and Communication Technology, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-030-57993-7_69
Download citation
DOI: https://doi.org/10.1007/978-3-030-57993-7_69
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57992-0
Online ISBN: 978-3-030-57993-7
eBook Packages: Computer ScienceComputer Science (R0)