某公司物流公共信息平台的设计与实现

发布时间：2018-07-10 10:39

本文选题：物流公共信息 + 物流管理　；参考：《电子科技大学》2017年硕士论文

【摘要】：改革开放以来,伴随着我国经济的飞速增长,特别是近几年互联网电商的普及,物流管理水平对企业、社会、国家的影响越来越大,成为企业利润新的增长点,也是国家经济发展的重要基础支撑。目前,虽然中国物流得到了快速的发展,也诞生了一批典型物流企业,但离社会需求还远远不够,特别是物流供需双方信息不透明、信息封闭、价格畸形等问题,由此,催生了众多物流公共信息平台,由于各物流信息平台的建设相对孤立,各自为战,壁垒严重,导致存在许多普遍性的问题,车主、货主双方均不满意,物流信息平台的作用薄弱,社会功效极其有限。该论文首先介绍了针对物流行业现状而建设的物流信息平台所使用的技术路线、系统架构、设计原则以及匹配方法的来源和依据,综合分析了各类匹配方法在物流行业的研究和使用现状,为论文的系统实现和现实意义明确了可行性和创新性。本论文结合专业物流管理理论知识,融合软件工程、物联网技术等,汇总前人所涉及的匹配算法优点,创新性的提出了一种适合本文目标的货源车源匹配方法,并将该算法进行保存以便后来的研究人员借鉴使用。根据业务需求,本论文系统设计为三层架构,即前台、中台和后台服,开发工具采用MyEclipse,Web应用框架采用Struts2,持久层采用MyBatis3。应用服务集成使用RestFul格式,数据持久层操作使用JDBC,采用MySQL免费数据库。采用JAVA开发语言工具,开发一个简单、共享、易用的互联网门户网站平台,实现货物运输资源、运输车辆资源信息的采集、发布、智能撮合及履约监控,有效解决了物流市场众多问题,提升物流管理运转效率,提升客户满意度,降低物流行业运营成本,构建一个互联、共赢的物流生态链。通过本论文的研究表明,充分利用移动互联网和信息化相关手段,制定合理的撮合规则和算法,配套完善的业务管理流程和信用体系,能够有效解决物流运输过程中存在相关的问题,从而降低物流运输成本,提升社会物流运转效率。
[Abstract]:Since the reform and opening up, with the rapid economic growth of our country, especially the popularity of Internet e-commerce in recent years, the level of logistics management to enterprises, society, and the country has become a new growth point of profit. It is also an important foundation for national economic development. At present, although China's logistics industry has developed rapidly and a number of typical logistics enterprises have been born, it is far from being far from social demand, especially the problems of information opacity, information closure, price deformities between supply and demand sides of logistics, and so on. The construction of various logistics information platforms is relatively isolated, fighting on their own, and the barriers are serious, which lead to many universal problems, and both owners and owners are not satisfied. The function of logistics information platform is weak, the social effect is extremely limited. This paper first introduces the technical route, system architecture, design principle and the source and basis of matching method of the logistics information platform which is built according to the current situation of logistics industry. The present situation of research and application of various matching methods in logistics industry is analyzed synthetically, which makes clear the feasibility and innovation for the system realization and practical significance of this paper. This paper combines the theoretical knowledge of logistics management, software engineering, Internet of things technology and so on, summarizes the advantages of matching algorithms involved by the predecessors, and innovatively proposes a method of source vehicle source matching suitable for the purpose of this paper. The algorithm is saved for use by later researchers. According to the business requirements, the system is designed as three layers architecture, namely, front desk, middle platform and background service. The development tool adopts Struts2 for MyEclipse Web application framework and MyBatis3 for persistence layer. Application service integration uses RestFul format, data persistence layer operation using JDBC, MySQL free database. A simple, shared and easy to use Internet portal platform is developed with Java development language to realize the collection and release of cargo transportation resources, transportation vehicle resource information, intelligent matchmaking and performance monitoring. It can effectively solve many problems in logistics market, improve the efficiency of logistics management, enhance customer satisfaction, reduce the operating cost of logistics industry, and construct an interconnected and win-win logistics ecological chain. Through the research of this paper, it is shown that, making full use of mobile Internet and information related means, making reasonable matching rules and algorithms, matching perfect business management process and credit system, It can effectively solve the related problems in the process of logistics transportation, so as to reduce the cost of logistics transportation and improve the efficiency of social logistics operation.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52

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