计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (14): 255-258.

• 工程与应用 • 上一篇    下一篇

规模经济对多式联运网络成本最优模型的影响

刘  丹1,赵嵩正2,蒋维扬2,刘  静2   

  1. 1.长安大学 经济与管理学院,西安 710064
    2.西北工业大学 管理学院,西安 710029
  • 出版日期:2014-07-15 发布日期:2014-08-04

Research of intermodal integrated optimization model of total logistics cost based on economies of scale

LIU Dan1, ZHAO Songzheng2, JIANG Weiyang2, LIU Jing2   

  1. 1.School of Economics and Management, Chang’an University, Xi’an 710064, China
    2.School of Management, Northwestern Polytechnical University, Xi’an 710029, China
  • Online:2014-07-15 Published:2014-08-04

摘要: 在多式联运网路中,建立了一个基于规模经济的运输方式与车辆运力集成选择优化的模型。根据研究问题,规模经济体现在多式联运运输网络的货运量、运输距离和车辆运力上。通过多式联运运输网络成本最小化问题来表达该模型。用遗传算法可以找到合理的路线、运输方式和车辆运力。并通过一个案例对两种不同货物运输需求的情景进行了检验。启发式遗传算法的优化结果显示了规模经济在两种需求能力下,如何影响各种运输方式的物流总成本。此外,得出了两种情况下车辆安排的策略。

关键词: 多式联运, 模经济, 车辆运力, 启发式遗传算法

Abstract: This study develops an intermodal integrated optimization model which combines transportation mode and vehicle size together based on the economies of scale. Economies of scale concretely embody in freight volume, transportation distance and vehicle size in a given intermodal transportation network. The model is reflected through minimization of multimodal transport costs, genetic algorithm is suitable to find the reasonable route, transportation way and vehicle size. Then, it gives a case study which tests two different scenarios of demand of logistics. Optimization results show how economies of scale affect system (patterns), path selection, and total logistics cost according to various demand. In addition, choice of vehicle size strategies is available in two cases.

Key words: intermodal transport, economies of scale, vehicle size, heuristic genetic algorithm