Document Type : Original Article
Authors
Department of Industrial Engineering, Mazandaran University of Science and Technology, Babol, Iran
Abstract
In the previous literature, scholars have focused on designing closed-loop and green supply chain (SC) networks with government regulations, environmental risks, and resource constraints. Nowadays, focusing on reverse logistics, and integrating the reverse flow with a forward flow for supply chains (SCs) is of great importance to reduce SC costs. Hence, this study proposes a bi-objective mathematical model, which simultaneously minimizes the costs of a supply chain network and the amount of released carbon. Also, a multi-goal programming method is used to solve the developed model. Moreover, 10 test problems are provided to analyze the performance of the proposed model using Lingo software. In addition, sensitivity analyses are carried out.
Keywords
- Closed-loop supply chain
- Green supply chain
- Greenhouse gas
- Multi-choice goal programming with a utility function
- Multi-objective optimization
Main Subjects
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