Smart Maintenance - maintenance in digitalised manufacturing
Doktorsavhandling, 2019

What does digitalised manufacturing entail for maintenance organizations? This is a pressing question for practitioners and scholars within industrial maintenance management who are trying to figure out the best ways for responding to the rapid advancement of digital technologies. As technology moves faster than ever before, this is an urgent matter of uttermost importance. Specifically, in order to secure the success of highly automated, intelligent, connected and responsive production systems, industrial maintenance organizations need to transform to become leading enablers of high performance manufacturing in digitalised environments. In this thesis, this transformation is referred to as “Smart Maintenance”.

The purpose of this thesis is to ensure high performance manufacturing in digitalised environments by enabling the adoption of Smart Maintenance. In order to stimulate adoption, a holistic understanding of Smart Maintenance is needed. Therefore, the aim of this thesis is to describe future scenarios for maintenance in digitalised manufacturing as well as to conceptualize and operationalize Smart Maintenance. The holistic understanding has been achieved through a phenomenon-driven research approach consisting of three empirical studies using multiple methods.

Potential changes for maintenance organizations in digitalised manufacturing are described in 34 projections for the year 2030. From these projections, eight probable scenarios are developed that describe the most probable future for maintenance organizations. In addition, three wildcard scenarios describe eventualities that are less probable, but which could have large impacts. These scenarios serve as input to the long-term strategic development of maintenance organizations.

Smart Maintenance is defined as “an organizational design for managing maintenance of manufacturing plants in environments with pervasive digital technologies” and has four core dimensions: data-driven decision-making, human capital resource, internal integration and external integration. Manufacturing plants adopting Smart Maintenance are likely to face implementation issues related to change, investments and interfaces, but the rewards are improved performance along multiple dimensions when internal and external fit have been achieved.

Smart Maintenance is operationalized by means of an empirical measurement instrument. The instrument consists of a set of questionnaire items that measure the four dimensions of Smart Maintenance. It can be used by practitioners to assess, benchmark and longitudinally evaluate Smart Maintenance in their organization, and it can be used by researchers to study how Smart Maintenance impacts performance.

This thesis has the potential to have a profound impact on the practice of industrial maintenance management. The scenarios described allow managers to see the bigger picture of digitalisation and consider changes that they might otherwise ignore. The rich, understandable, and action-inspiring conceptualization of Smart Maintenance brings clarity to practitioners and policy-makers, supporting them in developing implementation strategies and initiatives to elevate the use of Smart Maintenance. The measurement instrument makes it possible to measure the adoption of Smart Maintenance in manufacturing plants, which serves to develop evidence-based strategies for successful implementation. Taken together, the holistic understanding achieved in this thesis enables the adoption of Smart Maintenance, thereby ensuring high performance manufacturing in digitalised environments.

industry 4.0

production system

digitalisation

maintenance

manufacturing

Virtual Development Laboratory, Hörsalsvägen 7A
Opponent: Professor Marco Macchi, Politecnico di Milano, Italy

Författare

Jon Bokrantz

Chalmers, Industri- och materialvetenskap, Produktionssystem

Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030

International Journal of Production Economics,; Vol. 191(2017)p. 154-169

Artikel i vetenskaplig tidskrift

Bokrantz, J., Skoogh, A., Berlin, C., Wuest, T & Stahre, J. (2019). Smart Maintenance: an empirically grounded conceptualization

Bokrantz, J., Skoogh, A., Berlin, C., Wuest, T & Stahre, J. (2019). Smart Maintenance: a research agenda for industrial maintenance management

Bokrantz, J., Skoogh, A., Berlin, C., & Stahre, J. (2019). Smart Maintenance: instrument development, content validation and an empirical pilot

Maintenance practitioners are faced with the daunting task of figuring out the challenges and opportunities of industrial digitalisation. They are expected to develop realistic yet visionary maintenance strategies to secure the success of highly digitalised production systems. However, this requires answers to many difficult questions. What type of technologies should be employed? What type of skills are needed? How should one collaborate with other parties? What are the benefits? Even with those answers in hand, the means by which the strategies can be realized are not well understood. How can we measure our current status and track our digitalisation progress over time? How should we prioritize our actions in order to reach our strategic targets? How can we learn from others? This thesis brings clarity to such questions. Specifically, this thesis describes future scenarios for maintenance in digitalised manufacturing, conceptualizes “Smart Maintenance”, and develops an instrument to measure Smart Maintenance in manufacturing plants.

The scenarios allow practitioners to see the bigger picture of digitalisation, consider changes that they might otherwise ignore, and begin to develop long-term strategies for maintenance organizations. The rich, understandable, and action-inspiring conceptualization of Smart Maintenance brings clarity to practitioners and policy-makers, supporting them in developing implementation strategies and initiatives to elevate the use of Smart Maintenance. Specifically, Smart Maintenance is defined as “an organizational design for managing maintenance of manufacturing plants in environments with pervasive digital technologies” and has four core dimensions: data-driven decision-making, human capital resource, internal integration and external integration. The measurement instrument makes it possible to measure Smart Maintenance in manufacturing plants, and consists of a set of questionnaire items that measure the four dimensions of Smart Maintenance. It can be used by practitioners to assess, benchmark and longitudinally evaluate Smart Maintenance in their organization, which serves to develop evidence-based strategies for successful implementation.

Taken together, this thesis provides a holistic understanding of Smart Maintenance that ensures high performance manufacturing in digitalised environments. To know more about what the future of maintenance entails, what Smart Maintenance really is, and how Smart Maintenance can be measured, you are kindly invited to turn this book around, open the first page, and start reading the thesis. I hope you will learn a lot.

SMASh – Smart Maintenance Assessment

VINNOVA, 2017-05-01 -- 2019-10-31.

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Tillförlitlighets- och kvalitetsteknik

Företagsekonomi

Styrkeområden

Produktion

ISBN

978-91-7905-191-4

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4658

Utgivare

Chalmers tekniska högskola

Virtual Development Laboratory, Hörsalsvägen 7A

Opponent: Professor Marco Macchi, Politecnico di Milano, Italy

Mer information

Senast uppdaterat

2019-09-26