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Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030

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  • Bokrantz, Jon
  • Skoogh, Anders
  • Berlin, Cecilia
  • Stahre, Johan

Abstract

Despite extensive research on future manufacturing and the forthcoming fourth industrial revolution (implying extensive digitalisation), there is a lack of understanding regarding the specific changes that can be expected for maintenance organisations. Therefore, developing scenarios for future maintenance is needed to define long-term strategies for the realisation of digitalised manufacturing. This empirical Delphi-based scenario planning study is the first within the maintenance realm, examining a total of 34 projections about potential changes to the internal and external environment of maintenance organisations, considering both hard (technological) and soft (social) dimensions. The paper describes a probable future of maintenance organisations in digitalised manufacturing in the year 2030, based on an extensive three-round Delphi survey with 25 maintenance experts at strategic level from the largest companies within the Swedish manufacturing industry. In particular, the study contributes with development of probable as well as wildcard scenarios for future maintenance. This includes e.g. advancement of data analytics, increased emphasis on education and training, novel principles for maintenance planning with a systems perspective, and stronger environmental legislation and standards. The scenarios may serve as direct input to strategic development in industrial maintenance organisations and are expected to substantially improve preparedness to the changes brought by digitalised manufacturing.

Suggested Citation

  • Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    • Handle: RePEc:eee:proeco:v:191:y:2017:i:c:p:154-169
    DOI: 10.1016/j.ijpe.2017.06.010
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    References listed on IDEAS

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    1. Fabrice Roubelat, 2006. "Scenarios to challenge strategic paradigms: Lessons from 2025," Post-Print hal-02148887, HAL.
    2. Warth, Johannes & von der Gracht, Heiko A. & Darkow, Inga-Lena, 2013. "A dissent-based approach for multi-stakeholder scenario development — The future of electric drive vehicles," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 566-583.
    3. von der Gracht, Heiko A. & Darkow, Inga-Lena, 2010. "Scenarios for the logistics services industry: A Delphi-based analysis for 2025," International Journal of Production Economics, Elsevier, vol. 127(1), pages 46-59, September.
    4. Muller, Alexandre & Crespo Marquez, Adolfo & Iung, Benoît, 2008. "On the concept of e-maintenance: Review and current research," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1165-1187.
    5. Bood, Robert & Postma, Theo, 1997. "Strategic learning with scenarios," European Management Journal, Elsevier, vol. 15(6), pages 633-647, December.
    6. Rowe, Gene & Wright, George, 1996. "The impact of task characteristics on the performance of structured group forecasting techniques," International Journal of Forecasting, Elsevier, vol. 12(1), pages 73-89, March.
    7. von der Gracht, Heiko A., 2012. "Consensus measurement in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1525-1536.
    8. Schuckmann, Steffen W. & Gnatzy, Tobias & Darkow, Inga-Lena & von der Gracht, Heiko A., 2012. "Analysis of factors influencing the development of transport infrastructure until the year 2030 — A Delphi based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1373-1387.
    9. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
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