AN OPTIMIZATION MODEL FOR MULTI-OBJECTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK UNDER UNCERTAINTY: A HYBRID FUZZY-STOCHASTIC PROGRAMMING METHOD

作者：Vahdani B^*

来源：Iranian Journal of Fuzzy Systems, 2015, 12(4): 33-57.

• Closed-loop supply chain network design
• Multi-objective decision making
• Fuzzy mathematical programming
• Stochastic programming

In this research, we address the application of uncertainty programming to design a multi-site, multi-product, multi-period, closed-lop supply chain (CLSC) network. In order to make the results of this article more realistic, a CLSC for a case study in the iron and steel industry has be-en explored. The presented supply chain covers three objective functions: maximization of profit, minimization of new products' delivery time, collection time and disposal time of used products, and maximizing flexibility. To solve the proposed model, an interactive hybrid solution methodology is adopted through combining a hybrid fuzzy-stochastic programming method and a fuzzy multi-objective approach. Finally, the numerical experiments are given to demonstrate the significance of the proposed model and the solution approach.

• 出版日期2015-8