Multi-Objective Optimization for Sustainable Manufacturing-Remanufacturing System with Maintenance Strategy

This study focuses on sustainable parallel manufacturing/remanufacturing lines that incorporate maintenance strategies, within a multi-objective context. Each line is a single machine prone to random breakdowns. When a machine fails, only minimal repairs are performed; however, imperfect maintenance is planned to help control the risk of failure rates. The purpose of our work focuses on determining the optimal integrated manufacturing, remanufacturing, and maintenance plans that minimize both the total economic cost and the energy consumed by both processes. We develop a multi-objective mathematical model and implement an enhanced version of the I-constraint method to solve it. Moreover, the most efficient solution within the Pareto set is found through TOPSIS, the Technique of Order Preference by Similarity to the Ideal Solution. A series of numerical experiments are then conducted to investigate the influence of manufacturing, remanufacturing, and maintenance integration on system sustainability. The Pareto front was accurately generated by AUGMECON2, which included efficient solutions that are not located at the corners.