Multi-objective fuzzy robust optimization approach to sustainable closed-loop supply chain network design

• Published in: Computers & industrial engineering 2020-10, Vol.148, p.106716, Article 106716
• Main Authors: Nayeri, Sina, Paydar, Mohammad Mahdi, Asadi-Gangraj, Ebarhim, Emami, Saeed
• Format: Article
• Language: English
• Subjects: Closed-loop supply chain network; Fuzzy robust optimization; Goal programming; Sustainable development; Water tank
• ISSN: 0360-8352; 1879-0550
• DOI: 10.1016/j.cie.2020.106716

•A sustainable closed-loop supply chain network is designed under uncertainty.•Strategic and tactical decisions are addressed, simultaneously.•A real case study is investigated.•Sensitivity analyses on parameters of the proposed model are provided. Nowadays, the importance of sustainable development has persuaded the supply chain managers to shift their network to sustainable supply. This research develops a multi-objective mathematical model to configure a Sustainable Closed-Loop Supply Chain (SCLSC) network for a water tank considering sustainability measures. The goals of the proposed model are optimizing financial, environmental and social impacts of the SCLSC. Generally, the uncertainty exists in configuring the SCLSC network problem according to the changes in the business environment (like transportation costs and demand). As a result, a Fuzzy Robust Optimization (FRO) is applied to cope with uncertainty in this study. Then, the proposed model is solved using the goal programming approach. The numerical results showed some insightful observations regarding planning and strategic decisions for the SCLSC network design. Finally, several sensitivity analyses are carried out on some important parameters, the changes in objective functions are investigated and the robustness of the proposed model is examined.