| Summary: | 碩士 === 國立東華大學 === 運籌管理研究所 === 101 === Closed-loop supply chain network design is a facility location problem combined with forward and reverse logistics. In order to reflect the environmental fluctuations and the market competitiveness, recycled products will be re-manufactured and sold to obtain the advantages of achieving the green environmental protection and reducing the cost. Decision makers need to consider the uncertain factors, such as the quantity of customer demand, the quantity of product recovery, the transportation cost and the others, to design the supply chain network. It may cause wrong decisions and affect the operating cost conditions if uncertain parameters cannot be accurately predicted and controlled. Therefore, how to control and predict the uncertain parameters is an important issue in nowadays business environment.
For the facility location model in a closed-loop supply chain network under uncertainty, this study uses a two-stage interactive possibilistic programming approach to obtain a preferred compromise solution and compare with current common fuzzy approaches. After computing experimental testing, we can find that this study based on TH fuzzy approach obtains more efficient balanced compromise solution than other fuzzy approaches.
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