Designing a Closed-loop Green Supply Chain Network Considering the Quality Costs of Raw Materials in a Fuzzy Environment

Document Type : Research Paper

Authors

1 Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran

2 School of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box: 11155-4563, Tehran, Iran

10.22070/jqepo.2024.19090.1279

Abstract

In this paper, a five-level closed-loop green supply chain network, including three levels in the forward direction (suppliers, production/reestablishement centers, distribution centers) and two levels in the reverse direction (collection/separation centers and destruction), is presented under conditions of uncertainty of some parameters. The objectives of the model include cost minimization, minimization of environmental effects caused by the emission of greenhouse gases, and minimization of time delays in sending products and raw materials. Numerous operational constraints are also considered. To be closer to reality, the uncertainty considered for the parameters of the problem was presented in a fuzzy form. The tri-objective fuzzy model is converted into a crisp model according to the Jimenez method. Finally, the performance and efficiency of the model are considered and analyzed by the TH (Torabi-Hassini) method and the augmented epsilon constraint method in the form of a numerical example by Gams software. Sensitivity analysis is done on the numerous confidence levels. Results show that the augmented epsilon-constrained method outperforms TH method for the first and second objective functions, and the third objective function is vice versa. The computational time of the augmented epsilon-constrained method is also for all confidence levels less than TH method.

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