模糊需求环境下集装箱多式联运箱型和运输方式的选择  

Selection of Container Types and Transport Modes for Container Multi-modal Transport with Fuzzy Demand

作　　者：王慧[1] 汪传旭[1] 

机构地区：[1]上海海事大学经济管理学院,上海200135

出　　处：《公路交通科技》2012年第4期153-158,共6页Journal of Highway and Transportation Research and Development

基　　金：教育部博士点基金项目(20093121110002);研究生创新基金项目(yc2011010)

摘　　要：在集装箱多式联运中,集装箱箱型和运输方式的组合优化直接关系到货物运输的时间、费用和质量。考虑运输需求量为模糊情况下,建立集装箱多式联运箱型和运输方式的优化模型,实现集装箱多式联运总成本最优化,并提出模型求解的改进型粒子蚁群算法。最后结合算例对模型进行应用分析,并分析箱型替代和运输交货期限的变化对多式联运总成本的影响。结果表明:承运人可根据不同运输需要实现集装箱运输规模效益,提高集装箱利用率;时间限制对承运人选择集装箱箱型和运输方式的影响较大;改进型粒子蚁群算法优于蚁群算法。In a container multi-modal transport system, the combination and optimization of container types and transport modes have a direct effect on time, cost and quality of cargo transportation. Based on the fuzzy demands and the transportation cost minimization, a mathematical model for obtaining the optimal container type and transport modes for multi-modal transport was formulated. Then the improved particle-ant colony optimization algorithm was presented to solve the proposed model. Finally, an example was given to demonstrate the application of the proposed model and algorithm, and the impact of container replacement and delivery deadline on the total cost of multi-modal transportation was analyzed. The result indicates that （1） the carrier could implement container transportation scale economy according to different demands and improve the utilization rate of containers ; （2） the time limit has a great influence on the selection of container types and transport modes; （3） the improved particle-ant colony optimization algorithm is better than ant colony algorithm.

关 键 词：运输经济 多式联运 模糊需求 改进型粒子蚁群算法 集装箱箱型 

分 类 号：U492.334[交通运输工程—交通运输规划与管理]