Optimization of remanufacturing systems by using a fuzzy multi-objective model to solve the planning problem

Abstract To meet specific customer demands, many new materials and recyclable components must be mixed into the production process in order to minimize total manufacturing costs and total lead time. The lot-sizing production-to-order problem requires optimizing the lot size in the purchase and manufacture of required materials. This paper analyzes the relationships between new materials and recycled components with a specific purchase/ manufacturing cost, machine yield and capacity, and lead time. Fuzzy multi-objective linear programming (FMOLP) is used to model relative cost-effectiveness and lead time, among various factors. The proposed model evaluates cost-effectiveness and lead time while integrating multiple products, multiple suppliers, multiple components and multiple machines for a remanufacturing production system. Decision makers and managers can use the analytical results of this work to improve their understanding of cost-effectiveness and lead time of recyclable remanufacturing planning.

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