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机构地区:[1]东北大学工商管理学院,辽宁沈阳110819 [2]东软集团IA事业部,辽宁沈阳110000
出 处:《东北大学学报(自然科学版)》2014年第11期1664-1668,共5页Journal of Northeastern University(Natural Science)
基 金:国家自然科学基金资助项目(70972100);教育部博士学科点专项基金资助项目(20120042120018)
摘 要:研究了在供应失效风险环境下可替代产品的分销网络设计问题,建立了包括制造商产能设计、产能分配、分销中心选址和应急库存量等决策内容的混合整数规划模型.在模型中,导致供应失效的突发事件通过情境的形式表现,在同一情境中,允许制造商和多个分销中心同时出现能力受损的情况,这使得问题的情境数急剧增加.为此使用样本平均估计(SAA)方法进行求解.通过实验比较上界和下界之间的间隙,证明了SAA方法的有效性,最后给出了供应链中设施的可靠程度、产品间可替代程度与供应链收益之间的关系.The distribution network design of substitute products under the risk of supply failure was studied, and a mixed integer programming model including manufacturers' production design, capacity allocation, distribution center location and emergency inventory decision was established. In the model, emergencies causing supply chain failure are represented by scenarios, and within the same scenario, more than one node of the distribution network may break down, which may result in a sharp increase of problematic scenarios. The sample average approximation method (SAA) is used for solution, whose validity is verified by experimentally comparing the gaps between the upper bound and the lower bond. Finally, the reliability of supply chain execution, and the relationship between product substitution degree and supply chain profit are analyzed.
分 类 号:TG335.58[金属学及工艺—金属压力加工]
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