December 2006

Maintenance

Multiobjective genetic algorithms optimize maintenance

Overall equipment effectiveness and cost criteria are considered

Goti, A., University of Mondragon; Sanchez, A., Polytechnich University of Valencia, Department of Statistics and Operational Research

Managers often use cost and performance metrics to determine or modify maintenance activities. This article focuses on the problem of preventive maintenance optimization in a manufacturing environment with the objective of determining the optimal preventive maintenance frequencies for equipment under overall equipment effectiveness (OEE) and cost criteria. The multicriteria optimization is developed using a multiobjective evolutionary algorithm (MOEA). MOEA-based optimization has attractive features for decision makers: the latest MOEA evolutions, such as the nonsorting genetic algorithm (NSGA-II), are capable of jointly optimizing various objectives by providing a wide range of optimal solu

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