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- 2017
基于鲁棒优化的低碳再制造物流网络模型
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Abstract:
摘要： 为了解决不确定环境下低碳再制造物流网络设计的问题,在碳排放权可交易的情况下,考虑运输成本、需求和废旧产品质量的不确定性,对于回收中心的开或关及其是否扩建、其余设施选址和节点间运输路线等决策,采用鲁棒优化方法,以碳交易收支和物流成本之和最小化为目标,建立了再制造物流网络鲁棒混合线性规划模型。通过案例验证了鲁棒模型的可行性,就碳交易和不确定参数的变化进行分析,表明鲁棒模型的决策平衡了最优性与鲁棒性。
Abstract: In order to solve the issue of low-carbon remanufacturing logistic network designing under uncertain situation, in the case of carbon emissions trading, considering the uncertainty of transportation cost, demand and waste product quality, for the decision on the opening or closing of the recycling center and its expansion, the location of the remaining facilities and transportation routes between nodes, by using the robust optimization, to minimize the sum of carbon trading revenue and expenditure and logistics costs, we establishes the robust mixed linear programming of remanufacturing logistic network. According to the case verified the feasibility of the robust model, the analysis included the variation of carbon trading and uncertain parameter indicates the balance of optimality and robustness of robust model decision
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