Fuzzy Multi-Objective Preventive Maintenance and Replacement Scheduling Using Integer Non-Linear Programming

Scheduling of preventive maintenance and replacement is one of the crucial issues in the literature of system reliability and maintenance engineering. The importance of this issue is more evident in series system in which by stopping a component the whole system will stop. However, the quest for the efficient periodic maintenance for all components of a system which has antagonistic objectives is not a trivial task. The aim of this paper is to present scheduling model of preventive maintenance and replacement for series systems by variable and not-predetermined periods and also by applying inflation in the model. The proposed multi-objective model minimizes breakdown, maintenance, replacement and fixed costs and also maximizes system's reliability. The model is designed based on fuzzy multi-objective and integer non-linear programming. The proposed model is solved with a numerical case. Furthermore, analysis of various scenarios and the effects of inflation on the model have been considered. The results show that applying inflation in the model changes not only scheduling for replacement and maintenance, but also affect the effective age of components.