基于云物流服务平台的任务分配与物流配送研究

发布时间：2018-03-14 14:52

本文选题：云物流　切入点：任务分配　出处：《北京交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：电子商务的高速发展为物流业带来了契机,使物流服务行业迅速成为我国国民经济的支柱产业之一。然而,面对急速蓬勃发展的物流服务需求时,各自为营、分散、单一的现阶段物流服务模式无法满足物流任务的高效、低成本、高质量的要求。随着"互联网+物流"、物流联盟等物流服务模式与云计算、虚拟化等技术的发展与普及,业界提出了一种基于云计算、面向服务的新物流服务模式—云物流。云物流服务模式已渐渐成为现在物流发展的主要方向之一,越来越多物流企业构建面向服务及物流任务的云物流服务模式,通过云物流服务平台实现信息集成和资源整合,完成任务-资源高效匹配并输出服务。云物流环境下,物流资源提供方将物流资源提供给平台,云物流服务平台如何通过有效运作管理,实现物流任务合理的配置物流资源,输出物流服务链是云物流服务模式研究的重点问题。因此,本文将基于云物流服务平台,研究云物流服务模式下的任务分配和物流配送问题。首先,在研究当前物流发展分析的基础上,构建了云物流服务平台的物流运作框架,指出云物流服务平台下的物流服务与当前物流的区别在于整合优化物流资源,为需求方提供多样化的物流服务,提高物流资源的利用率、服务质量、顾客满意度。其次,针对云物流平台下的海量任务需求和海量资源,构建了"初分配—再分配"两阶段的任务分配模型。采用Apriori算法对任务初分配过程进行求解;基于初分配求得的物流候选资源集,以低成本、高效率和高服务质量为目标构建再分配模型,采用遗传算法求解,并通过算例对比分析验证了模型和方法的可行性。最后,针对云物流服务平台下的资源的高效整合,本文构建了基于合作模式的物流配送模型,采用了遗传算法对模型进行求解,并将基于合作的配送模式与传统的独立配送模式进行结果比较,验证了本文的合作模式的有效性。论文研究的云物流服务平台模式下的任务分配和物流配送可为云物流的实现提供方法和理论依据,具有一定的研究价值。
[Abstract]:The rapid development of electronic commerce has brought opportunities to the logistics industry and made the logistics service industry one of the pillar industries of our national economy. A single logistics service mode at this stage can not meet the requirements of high efficiency, low cost and high quality of logistics task. With the development and popularization of logistics service mode, cloud computing and virtualization technology, such as "Internet logistics", logistics alliance, etc. The industry has proposed a new service-oriented logistics service model based on cloud computing-cloud logistics. Cloud logistics service model has gradually become one of the main directions of logistics development. More and more logistics enterprises construct the service oriented and logistics task oriented cloud logistics service mode, realize information integration and resource integration through cloud logistics service platform, complete task-resource efficient matching and output service. Logistics resource providers will provide logistics resources to the platform, cloud logistics service platform through effective operation and management, logistics tasks to achieve a reasonable allocation of logistics resources, Output logistics service chain is a key issue in the research of cloud logistics service model. Therefore, based on cloud logistics service platform, this paper will study the task allocation and logistics distribution in cloud logistics service mode. Based on the analysis of current logistics development, this paper constructs the logistics operation framework of cloud logistics service platform, and points out that the difference between cloud logistics service platform and current logistics is to integrate and optimize logistics resources. For the demand side to provide a variety of logistics services, improve the utilization of logistics resources, service quality, customer satisfaction. This paper constructs a two-stage task assignment model of "initial allocation and redistribution". The Apriori algorithm is used to solve the task initial assignment process, and the logistics candidate resource set based on the initial assignment is obtained at low cost. The redistributive model with high efficiency and high quality of service is constructed and solved by genetic algorithm, and the feasibility of the model and method is verified by comparison and analysis of examples. Finally, the efficient integration of resources under the cloud logistics service platform is discussed. In this paper, the logistics distribution model based on cooperative mode is constructed, and the genetic algorithm is used to solve the model, and the results are compared between the cooperative distribution model and the traditional independent distribution model. The task assignment and logistics distribution under the cloud logistics service platform model can provide the method and theoretical basis for the realization of cloud logistics, which has certain research value.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F259.2

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