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作 者:裴英梅 刘立辉[2] PEI Yingmei;LIU Lihui(International Business School,Shandong Jiaotong University,Weihai 264200,China;School of Transportation,Ludong University,Yantai 264001,China)
机构地区:[1]山东交通学院国际商学院,山东威海264200 [2]鲁东大学交通学院,山东烟台264001
出 处:《工业工程》2023年第2期141-147,共7页Industrial Engineering Journal
基 金:山东省自然科学基金资助项目(ZR2021QG02);山东交通学院科研基金资助项目(R201908);教育部产学合作协同育人项目(221005160105203)。
摘 要:考虑到现实运输过程中存在的运输网络突发失效风险,对集装箱多式联运路径决策问题进行研究。利用风险因子,采用动态规划方法分析运输网络可靠性,构造综合考虑运输网络风险、运输时间、运输费用及货损的集装箱多式联运路径决策目标规划模型,并设计遗传和蚁群混合算法求解。通过路径选择模型找到包含设定节点和边的多条初始路径;利用动态规划结合风险因子得到每条路径在关键节点和边的备择方案;利用多目标多式联运模型找到最大限度抵御运输网络风险的最优路线。以厦门到阿拉木图集装箱出口为例,证明模型算法的有效性,为综合考虑集装箱多式联运经济性、时效性和安全性的路径决策提供参考。Considering the risk of transportation network,the route decision of container multimodal transportation is studied.By using risk factors and the dynamic programming method to analyze the reliability of a transportation network,a route decision objective programming model for container multimodal transportation is established by comprehensively considering the transportation network risk,transportation time,transportation cost and cargo damage.To solve this model,a hybrid algorithm of genetic and ant colony algorithms is designed.Multiple initial routes including set nodes and edges are found through a route selection model.Then,dynamic programming combined with risk factors is used to obtain the alternative solutions at key nodes and edges of each route.Finally,the optimal route is found by using a multi-objective multimodal transportation model to maximize the resistance to transportation network risk.A container export case from Xiamen to Almaty is taken as an example to prove the effectiveness of the proposed model and algorithm,which can provide a reference for route decisions by comprehensively taking the economy,timeliness and safety of container multimodal transportation into consideration.
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