International Symposium on Information Engineering and Electronic Commerce, 3rd (IEEC 2011)
72 Manufacture/Remanufacture Closed-Loop Supply Chain Network Optimization Model and Algorithm under Uncertainty
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Based on analysis of product structure and consideration of stochastic uncertainty of returned products quantity, a manufacturing/remanufacturing closed-loop supply chain network (M/RM CLSCN) optimization model is build whose optimization targets consist of cost, resource and environment. Then the model is transformed to a deterministic model by chance-constrained programming approach and a numerical example is given to prove the validity of the model and algorithm.