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:: Volume 2, Issue 3 (11-2015) ::
2015, 2(3): 820-832 Back to browse issues page
A Mixed Integer Linear Programming Model for the Design of Remanufacturing Closed–loop Supply Chain Network
Mbarek Elbounjimi * 1, Georges Abdulnour2 , Daoud Ait kadi3
1- Department of Industrial Engineering, University of Quebec, Trois Rivires, Canada , mbarek.elbounjimi@uqtr.ca
2- Department of Industrial Engineering, University of Quebec, Trois Rivires, Canada
3- Laval University, Québec, Canada
Abstract:   (4367 Views)
Closed-loop supply chain network design is a critical issue due to its impact on both economic and environmental performances of the supply chain. In this paper, we address the problem of designing a multi-echelon, multi-product and capacitated closed-loop supply chain network. First, a mixed-integer linear programming formulation is developed to maximize the total profit. The main contribution of the proposed model is addressing two economic viability issues of closed-loop supply chain. The first issue is the collection of sufficient quantity of end-of-life products are assured by retailers against an acquisition price. The second issue is exploiting the benefits of colocation of forward facilities and reverse facilities. The presented model is solved by LINGO for some test problems. Computational results and sensitivity analysis are conducted to show the performance of the proposed model.
Keywords: Closed-loop supply chain, Colocation decision, Network design, Remanufacturing
     
Type of Study: مقاله پژوهشی |
ePublished: 2017/09/28
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Elbounjimi M, Abdulnour G, Ait kadi D. A Mixed Integer Linear Programming Model for the Design of Remanufacturing Closed–loop Supply Chain Network. Journal title 2015; 2 (3) :820-832
URL: http://system.khu.ac.ir/ijsom/article-1-2541-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 2, Issue 3 (11-2015) Back to browse issues page
International Journal of Supply and Operations Management International Journal of Supply and Operations Management
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