On the evolution of an intelligent maintenance optimization system

On the evolution of an intelligent maintenance optimization system

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Article ID: iaor20051252
Country: United Kingdom
Volume: 55
Issue: 2
Start Page Number: 139
End Page Number: 146
Publication Date: Feb 2004
Journal: Journal of the Operational Research Society
Authors:
Keywords: artificial intelligence: decision support
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.

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