A proposed multi-objective model for cellphone closed-loop supply chain optimization based on fuzzy QFD

A Closed-Loop Supply Chain Network (CLSCN) includes forward and reverse supply chains. In this research, a dynamic cellphone closed-loop supply chain is considered, which contains multiple plants, retailers, demand markets, and collection centers. The returned cellphones are significant parts of electronic waste, and there is an increasing demand for this product due to the technology advancement and population growth. In this investigation, a Mixed-Integer Linear Programming (MILP) model is proposed and solved with the GAMS software to configure a CLSCN in the Peel Region in Ontario, Canada. The results of the optimization model show which facilities should be open for minimization of the total cost of the network. Then, the model is extended to a multi-objective model by adding two objectives considering CO 2 emissions and the quality aspects of the CLSCN. To handle the qualitative factors, a fuzzy Quality Function Deployment (QFD) model is discussed in this paper. Then, weighted-sums and ε -constraint methods are utilized to detect efficient solutions for the CLSCN. Finally, the results are discussed and the conclusions are provided. Based on the results, the weights of the objective functions have significant effects on both the selection of the facilities and the flows of the products between them.