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On the evolution of an intelligent maintenance optimization system

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  • K A H Kobbacy

    (Centre for OR & Applied Statistics (CORAS), Salford University)

Abstract

In this paper the author reviews the development of an intelligent maintenance optimization system over the past 16 years. The paper starts with discussion of the initial motivation behind developing the system and the designs of the early versions of a computer program to access maintenance history data and provide an analysis. The concept behind this system was gradually developed to incorporate a rule base for the selection of a suitable model for preventive maintenance (PM) scheduling and then to a fully developed knowledge-based system for decision support. The need to incorporate case-based reasoning thus creating a hybrid system that can learn with use in addition to using elicited knowledge from experts is discussed. The experience with system validation with two versions of the system is analysed. The paper also reviews the extensive fundamental work on developing appropriate PM models that can deal with real data patterns. Finally, the scope for future development is presented.

Suggested Citation

  • K A H Kobbacy, 2004. "On the evolution of an intelligent maintenance optimization system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 139-146, February.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:2:d:10.1057_palgrave.jors.2601696
    DOI: 10.1057/palgrave.jors.2601696
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    References listed on IDEAS

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    1. Kobbacy, Khairy A. H., 1992. "The use of knowledge-based systems in evaluation and enhancement of maintenance routines," International Journal of Production Economics, Elsevier, vol. 24(3), pages 243-248, March.
    2. A H Christer, 1999. "Developments in delay time analysis for modelling plant maintenance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(11), pages 1120-1137, November.
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    Cited by:

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    2. G Beddoe & S Petrovic, 2007. "Enhancing case-based reasoning for personnel rostering with selected tabu search concepts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1586-1598, December.

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