第四方物流在云计算环境下的区域整合研究

发布时间：2018-03-14 18:34

本文选题：第四方物流　切入点：云计算　出处：《大连海事大学》2012年硕士论文　论文类型：学位论文

【摘要】：在电子商务飞速发展、物流企业激烈竞争的环境中,第三方物流无法实现跨区域资源整合,而第四方物流可以将第三方物流资源整合在一起,为用户提供优化的供应链解决方案。第四方物流需要利用互联网收集物流信息,而云计算环境能将地理位置分散的服务器联系在一起,构成庞大的物流信息网络,快速地为第四方物流提供信息。本文将第四方物流与云计算结合,通过云计算环境收集了企业的物流资源信息,为第四方物流提供优化第三方物流资源配置的信息,从而提高了企业资源的利用率。首先,分析云计算环境和第四方物流的特点,设计出第四方物流系统平台。在云计算环境的支持下,针对用户的不同需求提供优化的物流供应链方案,在用户接收到货物后,第四方物流根据时间和货物破损度对物流公司进行评价,将评价结果作为下次选取物流企业的标准之一。其次,在云计算环境中使用分布式计算,第四方物流根据是否跨区域运送货物,运用分支限界法和遗传算法寻找最优路径,可以快速地得到结果。采用改进的遗传算子的方法,寻找路径,避免因为未成熟收敛而出现找到局部最优解的情况。为了验证系统的有效性,模拟数据进行相关实验。最后,本文搭建一个原型系统,虚拟云计算环境,建立第四方物流系统平台。先使用Matlab验证遗传算法的适用性,然后模拟出城市之间的路径,收集分散区域的资源信息,完成路径选择,实现更新资源信息的基本功能,验证第四方物流系统与云计算环境结合的可行性。
[Abstract]:In the environment of rapid development of electronic commerce and fierce competition of logistics enterprises, the third party logistics can not realize the integration of cross-regional resources, and the fourth party logistics can integrate the third party logistics resources together. Fourth party logistics needs to use the Internet to collect logistics information, and cloud computing environments can link geographically dispersed servers together to form a huge logistics information network. Quickly provide information for fourth party logistics. This paper combines fourth-party logistics with cloud computing, collects enterprise logistics resource information through cloud computing environment, provides the information of optimizing the third party logistics resource allocation for the fourth party logistics, thus improves the utilization rate of enterprise resources. First of all, the characteristics of cloud computing environment and fourth party logistics are analyzed, and the fourth party logistics system platform is designed. With the support of cloud computing environment, an optimized logistics supply chain scheme is provided to meet the different needs of users. The fourth party evaluates the logistics company according to the time and the degree of goods breakage, and takes the evaluation result as one of the criteria for the next selection of logistics enterprises. Secondly, in the cloud computing environment, using distributed computing, the fourth party logistics based on whether to transport goods across regions, using branch boundary method and genetic algorithm to find the optimal path. The results can be obtained quickly. The improved genetic operator is used to find the path to avoid finding the local optimal solution because of immature convergence. In order to verify the effectiveness of the system, the simulation data are carried out related experiments. Finally, this paper builds a prototype system, virtual cloud computing environment, and the fourth party logistics system platform. Firstly, using Matlab to verify the applicability of genetic algorithm, and then simulate the path between cities, collect the resources information of scattered areas. Complete path selection, realize the basic function of updating resource information, verify the feasibility of combining the fourth party logistics system with cloud computing environment.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP3;F253.9

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