Volume 15, Issue 3 (11-2018)                   jor 2018, 15(3): 27-44 | Back to browse issues page

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Amin-Tahmasbi H, Raheb M, Jafariyeh S. A Green Optimization Model in Closed-Loop Supply Chain with the Aim of Increasing Profit and Reducing Environmental Problems, with Regard to Product Guaranty Period. jor 2018; 15 (3) :27-44
URL: http://jamlu.liau.ac.ir/article-1-1278-en.html
A Green Optimization Model in Closed-Loop Supply Chain with the Aim of Increasing Profit and Reducing Environmental Problems, with Regard to Product Guaranty Period
H. Amin-Tahmasbi * , M. Raheb , S. Jafariyeh
PhD in Industrial Engineering, Assistant Professor, University of Guilan, Rasht, Iran
Abstract:   (3486 Views)
Today, with the development of a competitive environment attention to supply chain management has become a key issue in the commercial organizations. It has influenced all organizational activities ranging from raw material purchasing, production, reducing cost and after-sales service, etc. On the other hand, by increasing the volume of pollutants and increased attention to environmental issues, manufacturers have to expand their supply chains into a closed-loop supply chain (CLSC). In this paper, we attempt to deal with the environmental issues presented in the design of CLSC networks. For the consideration of environmental issues in the proposed network, we plan an integer nonlinear programming and use the GAMS to solve it. This model optimizes the flow of sectors and products in the CLSC and the number of trucks used for the forward supply chain. Finally, applicability of the proposed model is tested via a real case study in refrigerator manufacturing plant, and the results are analyzed in depth. The application of the developed model can help to increase companys’ profit by reducing transportation costs while reducing environmental impacts and creating a green image of the supply chain.
Keywords: Closed-loop supply chain, Green Supply Chain, Two-objective optimization, Recovery system
Full-Text [PDF 929 kb]   (2169 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2016/07/7 | Accepted: 2017/02/28 | Published: 2018/11/15
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