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Smart Maintenance: a research agenda for industrial maintenance management

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

Abstract

How do modernized maintenance operations, often referred to as “Smart Maintenance”, impact the performance of manufacturing plants? This question is a pressing challenge for practitioners and scholars in industrial maintenance management, in direct response to the transition to an industrial environment with pervasive digital technologies. This paper is the second part of a two-paper series. We present an empirically grounded research agenda that reflects the heterogeneity in industrial adoption and performance of Smart Maintenance. Focus groups and interviews with more than 110 experts from over 20 different firms were used to identify contingencies, responses, and performance implications of Smart Maintenance. The findings were transformed into a contingency model, providing the basis for a research agenda consisting of five principal areas: (1) environmental contingencies; (2) institutional isomorphism; (3) implementation issues related to change, investments and interfaces; (4) the four dimensions of Smart Maintenance; and (5) performance implications at the plant and firm level. The agenda can guide the field of industrial maintenance management to move from exploratory work to confirmatory work, studying the validity of the proposed concepts as well as the magnitude and direction of their relationships. This will ultimately help scholars and practitioners answer how Smart Maintenance can impact industrial performance.

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  • Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: a research agenda for industrial maintenance management," International Journal of Production Economics, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:proeco:v:224:y:2020:i:c:s0925527319303731
    DOI: 10.1016/j.ijpe.2019.107547
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    Cited by:

    1. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    2. Karar, Ahmed Noaman & Labib, Ashraf & Jones, Dylan, 2024. "A resilience-based maintenance optimisation framework using multiple criteria and Knapsack methods," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Hamid Mirshekali & Athila Q. Santos & Hamid Reza Shaker, 2023. "A Survey of Time-Series Prediction for Digitally Enabled Maintenance of Electrical Grids," Energies, MDPI, vol. 16(17), pages 1-29, August.
    4. Renata Turisová & Hana Pačaiová & Zuzana Kotianová & Anna Nagyová & Michal Hovanec & Peter Korba, 2021. "Evaluation of eMaintenance Application Based on the New Version of the EFQM Model," Sustainability, MDPI, vol. 13(7), pages 1-15, March.
    5. Julius Peter Landwehr & Niklas Kühl & Jannis Walk & Mario Gnädig, 2022. "Design Knowledge for Deep-Learning-Enabled Image-Based Decision Support Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(6), pages 707-728, December.
    6. Saihi, Afef & Ben-Daya, Mohamed & As'ad, Rami, 2023. "Underpinning success factors of maintenance digital transformation: A hybrid reactive Delphi approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).
    8. Laubengaier, Désirée A. & Cagliano, Raffaella & Canterino, Filomena, 2022. "It Takes Two to Tango: Analyzing the Relationship between Technological and Administrative Process Innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Cauchick-Miguel, Paulo A. & Kurnia, Sherah & Jurburg, Daniel, 2021. "Integration of Industry 4.0 technologies into Total Productive Maintenance practices," International Journal of Production Economics, Elsevier, vol. 240(C).
    10. Manco, Pasquale & Rinaldi, Marta & Caterino, Mario & Fera, Marcello & Macchiaroli, Roberto, 2022. "Maintenance management for geographically distributed assets: a criticality-based approach," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    11. Joshua Holstein & Max Schemmer & Johannes Jakubik & Michael Vössing & Gerhard Satzger, 2023. "Sanitizing data for analysis: Designing systems for data understanding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-18, December.
    12. Wang, Kung-Jeng & Basuki, Satrio Samudro Aji & Kurniati, Nani, 2023. "A life-cycle asset management model by response surface method based optimization," International Journal of Production Economics, Elsevier, vol. 263(C).
    13. Bokrantz, Jon & Skoogh, Anders, 2023. "Adoption patterns and performance implications of Smart Maintenance," International Journal of Production Economics, Elsevier, vol. 256(C).

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