A Robust optimization Model for A Green Closed-Loop Supply Chain Network Design

Abstract

Considering the environmental protection and sustainable development, the study proposes a multi-objective mixed integer programming model for a green closed-loop supply chain network design to maximize the profit, the amicable production level and the quality level. A scenario-based robust optimization method is used to solve the uncertain product demand and purchasing costs problems. Besides, a LP-metrics method is used for solving the multi-objective problem. The proposed model is applied to a real case in the manufacturing industry to illustrate the applicability for supporting better decision making for sustainable supply chain network management. The research results can be a reference for closed-loop supply chain network related academic researches and practical management.