基于BPEL的物流服务组合及算法研究

发布时间：2018-05-21 01:30

本文选题：现代物流 + 用户偏好权重　；参考：《河南理工大学》2014年硕士论文

【摘要】：随着信息技术和电子商务的迅速发展,人们对物流的需求日益增加,要求获得更灵活、快捷、合理的物流服务。然而,我国的物流企业各自为战、功能单一,各公司优势无法结合。现代物流技术通过采用信息技术来提高整体物流效率,增加物流灵活性。企业协同物流是现代物流的一种重要运行模式,通过互联网来协调企业间的物流合作。企业协同物流中有两个关键问题需要解决:物流服务评价和物流服务组合。物流服务评价是了解服务特点和针对用户需求选择服务的前提,而物流服务组合则是按照用户需求来提供“一站式”的物流服务,能够极大的提高用户的使用感受和物流效率。基于此,本文针对现代物流的特点,主要研究企业协同物流服务的评价、组合和实现的方案。主要工作如下:(1)物流服务评价方面,本文分析了现代物流的特点、发展过程、发展趋势以及Web Service技术,设计了物流服务指标的计算公式、基于QoS的物流服务计算模型和最优服务的计算公式,用以评价物流服务的优劣。针对物流指标权重的设定问题,设计了用户偏好权重计算模型。专家标准权重与用户主观权重的结合,既保证了指标权重的客观科学性又保证了用户的主观个性。(2)物流服务组合方面,对标准粒子群算法进行改进,将其与现代物流特点相结合。设计算法的适应值函数、初始位置设定方法、粒子更新方法。主要解决了两个方面的问题:在各个节点的服务侯选集中快速选取一套符合要求的最优服务;多用户同时请求时,安排用户的执行顺序。描述了算法试验,通过比较验证了算法的有效性、可行性。(3)将现代物流流程分为四个阶段,设计流程执行逻辑,分析各节点执行的特点。基于BPEL技术,将每个物流节点选择的不同公司提供的物流服务组合成一个业务流程。然后设计了服务管理平台管理服务,从而实现了服务的合理组合,有助于提高整体的物流服务水平。
[Abstract]:With the rapid development of information technology and electronic commerce, people's demand for logistics is increasing day by day, which requires more flexible, fast and reasonable logistics services. However, the logistics enterprises in our country have their own functions, and their advantages cannot be combined. Modern logistics technology through the adoption of information technology to improve the overall logistics efficiency and increase logistics flexibility. Enterprise collaborative logistics is an important mode of modern logistics, which coordinates logistics cooperation through the Internet. There are two key problems to be solved in collaborative logistics: logistics service evaluation and logistics service combination. Logistics service evaluation is the premise of knowing the characteristics of service and choosing service according to user's demand, and logistics service combination is to provide "one-stop" logistics service according to user's demand, which can greatly improve user's using feeling and logistics efficiency. According to the characteristics of modern logistics, this paper mainly studies the evaluation, combination and realization of collaborative logistics service. The main work is as follows: (1) in the aspect of logistics service evaluation, this paper analyzes the characteristics, development process, development trend and Web Service technology of modern logistics, and designs the calculation formula of logistics service index. The calculation model of logistics service based on QoS and the formula of optimal service are used to evaluate the merits and demerits of logistics service. Aiming at the problem of setting the weight of logistics index, the calculation model of user preference weight is designed. The combination of expert standard weight and user subjective weight not only ensures the objective scientificalness of index weight, but also ensures the subjective personality of user. In terms of logistics service combination, the standard particle swarm optimization algorithm is improved. Combine it with the characteristics of modern logistics. The fitness function of the algorithm, the initial position setting method and the particle updating method are designed. It mainly solves two problems: selecting a set of optimal services that meet the requirements quickly in the service selection set of each node; arranging the execution order of the users when the multi-user requests at the same time. The algorithm experiment is described, and the validity of the algorithm is verified by comparison. The feasibility of the algorithm is to divide the modern logistics process into four stages, to design the execution logic of the process and to analyze the characteristics of the execution of each node. Based on BPEL technology, the logistics services provided by different companies selected by each logistics node are combined into a business process. Then the service management platform is designed to realize the reasonable combination of services, which is helpful to improve the overall logistics service level.
【学位授予单位】：河南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09;TP18

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