An Opportunistic Maintenance Decision of A Multi-Component System Considering the Effect of Failures on Quality

Preventive maintenance is a planned activity to keep the manufacturing facilities in good condition. However, because of limited time and resources, not all the system components can be repaired/replaced during the planned opportunity. When the system is under maintenance, it is very conservative to take the maintenance decision on the components because of limited available time and resources, hence the decision is selective. In this paper, an approach for opportunistic maintenance of a multi-component system is presented. The objective is to obtain a minimum cost solution with required availability and which can be accomplished within the allowable maintenance time. The optimization of the proposed model in this paper results into maintenance decision in terms of maintenance actions namely, repair, replace or do-nothing for the system components. A genetic algorithm approach is used for getting the optimal solution. The application of the model is demonstrated through a case study of a high pressure die casting machine.