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M对N型贸易关系的国际集装箱海运服务多目标多边匹配决策研究

Research on Multi-objective and Multilateral Matching Decision of International Container Shipping Services Under M-N Type Trade Relation
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摘要 国际集装箱海运因其运价低、运距远的特征,对于促进国际贸易、实现全球化生产具有重大意义。针对M对N型贸易关系下的国际集装箱海运服务匹配问题,将匹配指标划分为效益型指标和成本型指标;同时,创新性地采用三方主体在四个匹配环节中匹配满意度的算数平均值来表达整体匹配满意度。在构建最大化匹配主体满意度为目标函数的基础上,还增加对匹配中介收益的考虑,最终将模型转化为类似经典的运输平衡问题。发货人运输给收货人的集装箱数量是在匹配任务开始前根据他们先前订立的贸易合同就已经确定的,是无法改变的,且三方主体之间的匹配满意度不会因为箱量的增减发生线性的变化。因此,在采用最大元素法后获得的初始解即为最优解,无需做调整,也进一步说明本模型的实用性和操作性。 International container shipping is of great significance for promoting international trade,realizing global production for its low freight and long distance.Aiming at the matching problem under the M-N type trade relationship,the matching index is divided into benefit index and cost index.Simultaneously,the arithmetic average of matching satisfaction degree of three parties in four matching links is innovatively used to express the overall satisfaction degree.On the basis of constructing the objective function of maximizing the satisfaction degree of matching parties,the benefit of the matching intermediary is also taken into consideration.Finally,the model is transformed into a classical transportation equilibrium problem.The amount of containers shipped from consignor to the consignee has been fixed according to the previous contracts,and the matching satisfaction degree between the three parties will not change linearly with the increase or decrease of the number of containers.Therefore,the initial solution obtained by using the maximum element method is the optimal solution without adjustment,which further demonstrates its practicability and operability.
作者 兰龙辉 刘家财 LAN Long-hui;LIU Jia-cai(Fuzhou University,Fuzhou,350108,China;Fujian Agriculture and Forestry University,Fuzhou,350002,China)
出处 《电子科技大学学报(社科版)》 2024年第1期94-104,共11页 Journal of University of Electronic Science and Technology of China(Social Sciences Edition)
基金 国家社科基金一般项目(22BGL005).
关键词 国际集装箱 海运服务 多目标 多边匹配 运输问题 international container shipping service multi-objective multilateral matching transportation problem
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