:: Volume 6, Issue 1 (3-2015) ::
IJOR 2015, 6(1): 15-33 Back to browse issues page
A Robust Modeling Of Inventory Routing In Collaborative Reverse Supply Chains
Yahia Zare Mehrjerdi Dr , Mitra Moubed
Yazd University , yazm2000@yahoo.com
Abstract:   (8913 Views)

This paper proposes a robust model for optimizing collaborative reverse supply chains. The primary idea is to develop a collaborative framework that can achieve the best solutions in the uncertain environment. Firstly, we model the exact problem in the form of a mixed integer nonlinear programming. To regard uncertainty, the robust optimization is employed that searches for an optimum answer with nearly all possible deviations in mind. In order to allow the decision maker to vary the protection level, we used the "budget of uncertainty" approach. To solve the np-hard problem, we suggest a hybrid heuristic algorithm combining dynamic programming, ant colony optimization and tabu search. To confirm the performance of the algorithm, two validity tests are done firstly by comparing with the previously solved problems and next by solving a sample problem with more than 900 combinations of parameters and comparing the results with the nominal case. In conclusion, the results of different combinations and prices of robustness are compared and some directions for future researches are suggested finally.

Keywords: Reverse supply chain, Collaboration, Robust optimization, Ant colony optimization (ACO), Dynamic programming, Tabu search
Full-Text [PDF 782 kb]   (3617 Downloads)    
Type of Study: Original | Subject: Production/Inventory
Received: 2015/08/20 | Accepted: 2015/11/18 | Published: 2015/11/18


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Volume 6, Issue 1 (3-2015) Back to browse issues page