第三方物流实施VMI的配送优化研究

发布时间：2018-05-25 07:02

本文选题：第三方物流 + 时间窗　；参考：《西安工业大学》2014年硕士论文

【摘要】：随着生产力的飞速发展,企业面临越来越激烈的竞争,为了提高竞争力,通常会要求供应商每次供货数量比较少,但是供货频率要求较高,且要具备较高的服务水平,在这种情况下,第三方物流企业发挥了较大的作用,使得物流成本得以减少,从另一个角度来看,相当于增加了企业的利润。配装在物流配送活动中扮演了重要角色,它已成为学术界研究的热点问题之一本文针对第三方物流实施供应商管理库存的运作模式,研究了如何在满足客户对货物送达时间要求的前提下,使得车辆综合利用率最优的问题。本文主要是从如下方面展开研究的：首先,在本课题的研究中,主要梳理了货物配装环节的相关理论知识,以客户对货物的时间要求限制为约束条件,从时间积载率、容积积载率和重量积载率三方面的目标着手,对研究对象做了较深入的研究。其次,对于解决带时间窗限制的多车多品种货物配装问题,本文采用了遗传算法对其求解,编码过程中加入三个因素：放置顺序,放置方向和放置层数,采用Matlab软件中的GATBX遗传算法工具箱设计和实现了算法的程序,然后将案例数据代入模型进行了验证。最后,通过Flexsim软件对具体问题的现状和应用优化模型以后的结果进行仿真,通过3d Max软件对货物配装的效果进行了直观地展示,找到了现状存在的问题,并将应用优化模型后的结果与现状进行了比较分析,证明了模型的有效性和可用性。本文通过建立多车多品种货物配装的数学模型,对富士康科技集团(烟台园区)PS4产品装配生产车间仓库的物流配装活动进行改善,另一方面,在配装方面的研究也为第三方物流企业提供了一定的参考,对第三方物流企业成本的节约和服务质量的提升都有积极的意义。
[Abstract]:With the rapid development of productivity, enterprises are facing more and more fierce competition. In order to improve their competitiveness, suppliers are usually required to supply less quantity each time, but the frequency of supply is higher and the level of service should be higher. In this case, the third-party logistics enterprises play a greater role, so that logistics costs can be reduced, from another point of view, equivalent to increase the profits of enterprises. Matching plays an important role in logistics distribution activities. It has become one of the hot issues in academic research. This paper implements the operation mode of supplier management inventory for third party logistics. In this paper, the problem of how to optimize the comprehensive utilization ratio of vehicle is studied on the premise of meeting the customer's requirement of goods delivery time. This paper is mainly from the following aspects: first of all, in the research of this topic, it mainly combs the relevant theoretical knowledge of the cargo loading link, taking the time requirement of the customer as the constraint condition, from the time stowage rate, The research object of volume stowage ratio and weight stowage ratio is studied deeply. Secondly, genetic algorithm is used to solve the multi-vehicle and multi-variety cargo loading problem with time windows. Three factors are added in the coding process: placement order, placement direction and number of layers. The program of the algorithm is designed and implemented by using the GATBX genetic algorithm toolbox in Matlab software, and then the case data is substituted into the model to verify the algorithm. Finally, the current situation of the specific problems and the results after the application of the optimization model are simulated by Flexsim software, and the effect of cargo loading is displayed intuitively by 3D Max software, and the existing problems are found. The results of the optimization model are compared with the current situation, and the validity and availability of the model are proved. In this paper, by establishing a mathematical model of multi-vehicle and multi-variety cargo matching, the logistics matching activities of Foxconn Science and Technology Group (Yantai Park) (Yantai Park) are improved in the warehouse of PS4 product assembly workshop. On the other hand, The research on fitting also provides a certain reference for the third party logistics enterprises, and has positive significance for the third party logistics enterprises to save the cost and improve the service quality.
【学位授予单位】：西安工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F259.23

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