Multi-equipment condition based maintenance optimization by multi-objective genetic algorithm

Purpose: This paper deals with the optimization of the condition based maintenance (CBM) applied on manufacturing multi-equipment system under cost and benefit criteria. Design/methodology/approach: The system is modeled using Discrete Event Simulation (DES) and optimized by means of the application of a Multi-Objective Evolutionary Algorithm (MOEA). Findings: Solution for the joint optimization of the condition based maintenance model applied on several equipment has been obtained. Research limitations/implications: The developed approach has been successfully applied to the optimization of condition based maintenance activities of a hubcap production system composed by three plastic injection machines and a painting station, for management decision support. Originality/value: This paper provides a solution for the joint optimization of CBM strategies applied on several equipments.