蓉欧+境内集装箱集疏运系统优化及仿真

Optimization and Simulation of Container Collection and Distribution System of Rongou+in China

在蓉欧+发展战略下,本文针对中欧班列(成都)发展现状和当前集疏运系统存在的问题,以集疏运成本最小为目标函数,以货物的运输时限等作为约束条件构建模型,通过基于优先级的分段式编码的遗传算法对模型求解,并在不同运输时限下进行仿真实验。结果表明:对于距离成都国际铁路港较近的昆明、贵阳、重庆和距中转地较远的南宁,应高度重视铁路集疏运的方式;对于距离中转地较近的厦门、宁波、日照,应注重与武汉、上海等中转地之间的合作,通过多式联运降低成本;对于距离中转地居中的广州、天津,不仅要注重铁路集疏运方式的发展,同时应注重与武汉、上海等中转地之间的合作。

With the Rongou+development strategy,a model is established for the current development scenario of China Railway Express(Chengdu)and the problems existing in the current collection and distribution system.The objective function of the model was to have the least collection and distribution cost,and the constraint condition was the transportation time limit on goods.Based on priority piece-wise coding,the genetic algorithm was designed.Furthermore,simulation experiments were performed under different transportation time limits.The results show that:Kunming,Guiyang and Chongqing,which are close to Chengdu international railway port,should be attached great importance in terms of railway collection and distribution.Nanning which is farther away from the transit area,should be attached great importance with regard to development of railway collection and distribution modes.Xiamen,Ningbo and Rizhao,which are close to transfer places,should also be noted in cooperation with Wuhan,Shanghai and other transfer places to reduce costs through multimodal transport.Guangzhou and Tianjin,which are in the middle of the transit area,should be given great importance not only with regard to development of railway collection and distribution modes,but also with regard to cooperation with Wuhan,Shanghai,and other transit areas.