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CIBOCOF: A framework for industrial maintenance concept development

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  • Waeyenbergh, Geert
  • Pintelon, Liliane

Abstract

In the changing and increasingly competitive industrial arena, companies are striving towards world-class competitiveness. This also puts maintenance under increasing pressure to improve, e.g., availability and reliability of production facilities, and to reduce cost and waste. With the introduction of Reliability-Centred Maintenance, Total Productive Maintenance, Business-Centred Maintenance and other concepts, maintenance already evolved a lot during the last decades. However, the resource intensiveness of these concepts and their validity for only a special class of equipment make a more general framework for maintenance concept development necessary. Such a general framework should provide decision guidelines about the focus of the maintenance concept, how to select the right maintenance policies and finally how to implement them. The CIBOCOF framework described in this paper is the result of several years of research (doctoral research in co-operation with industry) and can be used to develop a customized maintenance concept in a specific company. Specific and new to this framework is that the optimization problem of maintenance is also taken into account. As such, Models described in literature finally find a way to practice, and the gap between theory and practice is closed a little bit in this paper; the framework is presented and illustrated by means of a case study.

Suggested Citation

  • Waeyenbergh, Geert & Pintelon, Liliane, 2009. "CIBOCOF: A framework for industrial maintenance concept development," International Journal of Production Economics, Elsevier, vol. 121(2), pages 633-640, October.
    • Handle: RePEc:eee:proeco:v:121:y:2009:i:2:p:633-640
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    References listed on IDEAS

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    1. Waeyenbergh, Geert & Pintelon, Liliane, 2002. "A framework for maintenance concept development," International Journal of Production Economics, Elsevier, vol. 77(3), pages 299-313, June.
    2. Waeyenbergh, Geert & Pintelon, Liliane, 2004. "Maintenance concept development: A case study," International Journal of Production Economics, Elsevier, vol. 89(3), pages 395-405, June.
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    Cited by:

    1. Liu, Gia-Shie, 2011. "Dynamic group instantaneous replacement policies for unreliable Markovian service systems," International Journal of Production Economics, Elsevier, vol. 130(2), pages 203-217, April.
    2. Gregory W. Vogl & Brian A. Weiss & Moneer Helu, 2019. "A review of diagnostic and prognostic capabilities and best practices for manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 79-95, January.
    3. Faccio, M. & Persona, A. & Sgarbossa, F. & Zanin, G., 2014. "Industrial maintenance policy development: A quantitative framework," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 85-93.
    4. Alexandros Bousdekis & Babis Magoutas & Dimitris Apostolou & Gregoris Mentzas, 2018. "Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance," Journal of Intelligent Manufacturing, Springer, vol. 29(6), pages 1303-1316, August.
    5. Özcan, Evren Can & Ünlüsoy, Sultan & Eren, Tamer, 2017. "A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1410-1423.
    6. Daniela POPESCU & Adriana SCRIOSTEANU & ANDREI POPESCU, 2013. "Total Productive Maintenance, A Central Preoccupation Of The Managers," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(1), pages 134-140, May.

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