| Summary: | 碩士 === 輔仁大學 === 資訊管理學系碩士班 === 102 === A sustainable supply chain with low carbon, 3E (Effective, Efficient, Environmental; 3E) and robust concepts has been a guarantee for the competitive products. Moreover, the carbon assessment management became a critical issue in supply chain management. Enterprises should provide a better and effective solution to reduce the carbon dioxide emission. The strategy of supply chain design must have changes because of new function implementation; moreover, it also impacts the effectiveness of the supply chain, when enterprises altered the forward open-loop to the closed-loop structure. The forward-reverse integration supply chain has to consider the supply-demand uncertainty, decide the reverse logistics allocations and locations, and adjust the forward supply chain capacity based on the new design with reverse logistics. In addition, many countries or governments are implementing various carbon regulatory mechanisms including carbon taxes and carbon emissions trading to reduce carbon/CO2 emissions. Therefore, we construct a probabilistic scenario tree to represent the uncertainties and develop a stochastic programming model of the closed-loop supply chain design to obtain the robust decisions.
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