October 2007

Maintenance/Computer Technology

Optimizing preventive maintenance by combining discrete event simulation and genetic algorithms

Cost and benefit criteria are applied to a multi-equipment system

Goti, A., University of Mondragon; Oyarbide-Zubillaga, A., Mondragon Unibertsitatea University, Industrial Management Department; Sanchez, A., Polytechnich University of Valencia, Department of Statistics and Operational Research

Industrial plant management, especially maintenance optimization, is usually characterized by the need to consider multiple noncommensurable and often conflicting objectives.1,2 Equipment can be over-maintained, increasing preventive maintenance (PM) expenditures, or under-maintained, increasing catastrophic failures. In these situations, and considering that maintenance requirements depend on many facts (whether the maintained equipment is a productive bottleneck, if it has a crucial impact in manufactured products' quality, etc.), it is very difficult to determine the optimal maintenance strategy that maximizes the profitability of the studied equipment considering different criteria. In

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