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Predictive maintenance: strategic use of IT in manufacturing organizations

Author

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  • Salvatore T. March

    (Vanderbilt University)

  • Gary D. Scudder

    (Vanderbilt University)

Abstract

A combination of big data and predictive analytics orchestrated through the Internet of Things (IoT) offers many opportunities for researchers in Information Systems, Operations Management and Strategy to look at old problems in new ways, and to identify completely new research areas. While there is much hype, little research has been conducted that informs companies about how to profitably integrate the IoT with strategic or operational processes. This paper views the IoT through the lens of predictive maintenance -- the use of real-time data and predictive analytics algorithms to dynamically manage preventive maintenance policies. These are being used by numerous manufacturing organizations to transition from product-oriented to service-oriented business models. In particular, we analyze optimal preventive maintenance policies in an environment where equipment is subject to a deterioration, which shifts it from its initial, fully-productive state, having a specified, age-dependent failure rate to a less-productive or deteriorated state, having a different, presumably higher, age-dependent failure rate. The deterioration, itself, is a random process.

Suggested Citation

  • Salvatore T. March & Gary D. Scudder, 2019. "Predictive maintenance: strategic use of IT in manufacturing organizations," Information Systems Frontiers, Springer, vol. 21(2), pages 327-341, April.
  • Handle: RePEc:spr:infosf:v:21:y:2019:i:2:d:10.1007_s10796-017-9749-z
    DOI: 10.1007/s10796-017-9749-z
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    References listed on IDEAS

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    Cited by:

    1. Loske, Dominik & Klumpp, Matthias, 2020. "Simulating the impact of digitalization on retail logistics efficiency," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 77-111, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Alessandro Fontana & Andrea Barni & Deborah Leone & Maurizio Spirito & Agata Tringale & Matteo Ferraris & Joao Reis & Gil Goncalves, 2021. "Circular Economy Strategies for Equipment Lifetime Extension: A Systematic Review," Sustainability, MDPI, vol. 13(3), pages 1-28, January.
    3. Ajaya K. Swain & Valeria R. Garza, 2023. "Key Factors in Achieving Service Level Agreements (SLA) for Information Technology (IT) Incident Resolution," Information Systems Frontiers, Springer, vol. 25(2), pages 819-834, April.
    4. Irene Niyonambaza & Marco Zennaro & Alfred Uwitonze, 2020. "Predictive Maintenance (PdM) Structure Using Internet of Things (IoT) for Mechanical Equipment Used into Hospitals in Rwanda," Future Internet, MDPI, vol. 12(12), pages 1-23, December.

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