基于货物运到期限的编组站配流问题研究

发布时间：2018-05-11 20:55

本文选题：货物运到期限 + 阶段计划　；参考：《西南交通大学》2012年硕士论文

【摘要】：过去我国铁路由于运能不足,运输业务量大,导致铁部门输重视运输能力,轻视服务质量,客货混线,货物列车以集结满轴出发,货物运到期限保障率低。在各种运输方式综合竞争的时代,铁路在货物运输上面临严峻的竞争。本文立足于未来铁路客货分离,货运能力大大提高之后,如何充分参与货运市场竞争的背景,抓住货物运到期限的准确性这个影响货主选择运输方式的关键因素作为考虑对象。如何将运到期限纳入铁路运输作业各环节成为控制作业流程和效率的因素,以及对现有编组站作业方式的改变是本论文研究的重点。在研究内容上本文先分析了我国铁路运输现阶段货物运到期限的现状,再研究货物运输过程时间分布特性规律,借鉴前人研究成果将送达时间看成满足服从正态分布规律。按照蒙特卡罗仿真办法计算运输环节各点作业时间的比例均值,利用MATLAB编程实现运到期限分配到各环节。编组站是改编大量车流和列流的地方,其阶段计划的质量直接影响到列车出发计划,是货物运输途中重要环节,对运到期限的保障有重要影响。故本文以编组站阶段计划的配流为研究对象,考虑时效性物资受运到期限影响会有最大在站停留时间,其值会对配流过程产生影响。综合考虑接续关系及解编顺序因素,建立以配流代价最小为目标的非线性规划模型。利用遗传算法将模型分为顺序调整和静态配流求解。采用VC、LINGO、MATLAB互相调用实现算法求解。最后用算例验证模型和算法有效性。本文以期将运到期限纳入运送过程中编组站配流环节,通过改变现有配流方式提高货物运到期限在中间站点的保障。
[Abstract]:In the past, because of the shortage of transportation capacity and the large volume of transportation business, the railway in our country paid more attention to the transportation capacity, despised the service quality, mixed passenger and cargo lines, set out by assembling the full axle, and the guarantee rate of goods delivery period was low. In the era of comprehensive competition of various modes of transport, railway faces severe competition in freight transportation. Based on the separation of passenger and cargo in the future and the improvement of freight capacity, how to fully participate in the background of freight market competition, and how to grasp the accuracy of the time limit of goods delivery, which is the key factor affecting the cargo owner's choice of transportation mode as the object of consideration. How to bring the time limit into the railway transportation operation is a factor to control the operation flow and efficiency, and how to change the operation mode of the existing marshalling yard is the focus of this paper. In the content of the research, this paper first analyzes the present situation of the time limit of the railway transportation in China, then studies the law of the time distribution of the freight transportation process, and regards the service time as the normal distribution law of the service according to the previous research results. According to the Monte Carlo simulation method, the proportional mean of operation time of each point in transportation link is calculated, and the delivery period is allocated to each link by MATLAB programming. The marshalling station is the place where a large number of train flow and train flow are adapted. The quality of the stage plan directly affects the train departure plan, is an important link in the transportation of goods, and has an important influence on the guarantee of the delivery period. Therefore, this paper takes the scheduling of marshalling yard stage as the research object, and considers that the maximum residence time of material in the station will be affected by the time limit, and its value will have an effect on the flow allocation process. A nonlinear programming model with minimum allocation cost is established considering the factors of continuity relation and unmarshalling sequence. Genetic algorithm is used to divide the model into sequential adjustment and static assignment. The algorithm is solved by using VC LINGOU MATLAB to call each other. Finally, an example is used to verify the validity of the model and algorithm. This paper hopes to bring the delivery period into the flow distribution link in the marshalling yard and to improve the guarantee of the delivery period in the intermediate station by changing the current flow distribution mode.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：U294.1

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