基于多中心共同配送的收益分配优化问题

发布时间：2018-11-19 18:13

【摘要】：针对多中心共同配送优化研究在收益分配机制方面存在的不足,提出先进行多中心共同配送优化后再进行收益分配优化的思想。以多中心共同配送网络构建的总成本最小化为目标函数,建立了基于配送中心到配送单元的配送成本和配送中心间运输成本的数学规划模型,并提出一种改进的遗传—粒子群优化混合算法求解模型;应用最小最大费用收益分配模型求解多中心共同配送优化成本的收益分配方案,并综合不同合作博弈论收益分配模型进行比较分析;提出应用合作联盟稳定性模型探讨不同收益分配方案的优劣;应用严格单调路径方法分析联盟成员的优化合作序列。通过实例对所提方法的合理性进行了验证,结果表明,该方法应用在多中心共同配送收益分配优化中能提高合作联盟的稳定性,也适用于基于多中心合作联盟稳定性的物流配送网络优化。
[Abstract]:In view of the shortcomings of the research on multi-center joint distribution optimization in the aspect of income distribution mechanism, the idea of multi-center joint distribution optimization and then income distribution optimization is put forward. Based on the objective function of minimizing the total cost of multi-center joint distribution network, the mathematical programming model of distribution cost and transportation cost between distribution centers and distribution centers is established. An improved hybrid genetic Particle Swarm Optimization (GPSO) algorithm is proposed to solve the problem. The minimum maximum cost distribution model is applied to solve the income distribution scheme of multi-center joint distribution optimization cost, and the income distribution model of different cooperative game theory is compared and analyzed. The stability model of cooperative alliance is applied to discuss the advantages and disadvantages of different income distribution schemes, and the strict monotone path method is applied to analyze the optimal cooperation sequence of alliance members. The rationality of the proposed method is verified by an example. The results show that this method can improve the stability of cooperative alliance in the optimization of multi-center joint distribution income distribution. It also applies to the optimization of logistics distribution network based on the stability of multi-center cooperative alliance.
【作者单位】：重庆交通大学经济与管理学院;电子科技大学经济与管理学院;
【基金】：国家自然科学基金资助项目(71402011,71471024) 中国博士后科学基金资助项目(2017T100692,2016M600735) 重庆市基础与前沿研究计划资助项目(cstc2015jcyjA30012) 重庆市教委人文社科基金重点资助项目(17SKG067,16SKGH067) 中国物流学会面上基金资助项目(2017CSLKT3-104) 中央高校基本科研业务费专项资金资助项目(YWF-17-BJ-Y-04)~~
【分类号】：F224.32;F252.1;TP18

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