Journal
APPLIED MATHEMATICAL MODELLING
Volume 37, Issue 6, Pages 4165-4176Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2012.09.039
Keywords
Reverse logistics (RL); Closed-loop supply chain (CLSC); Mixed-integer linear programming (MILP); Multi-objective programming; Stochastic programming
Funding
- NSERC Discovery grant
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A closed-loop supply chain (CLSC) network consists of both forward and reverse supply chains. In this paper, a CLSC network is investigated which includes multiple plants, collection centres, demand markets, and products. To this aim, a mixed-integer linear programming model is proposed that minimizes the total cost. Besides, two test problems are examined. The model is extended to consider environmental factors by weighed sums and a-constraint methods. In addition, we investigate the impact of demand and return uncertainties on the network configuration by stochastic programming (scenario-based). Computational results show that the model can handle demand and return uncertainties, simultaneously. (C) 2012 Elsevier Inc. All rights reserved.
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