CX公司的食品冷链物流追溯系统优化研究

发布时间：2018-09-10 21:37

【摘要】：近年来,随着人民生活水平的提升和社会信息化水平的不断提高,食品/农产品的质量安全问题越来越受到社会各界的广泛关注。自2010年国家发布《农产品冷链发展规划》的政策性文件以来,冷链物流在我国便进入了一个迅猛发展的阶段。政府职能部门的冷链物流追溯体系建设不断加强,企业为了满足消费者对冷链食品/农产品质量安全的需求,也在积极建设冷链物流追溯系统。本篇论文的研究对象是CX公司(畅想物联(北京)科技发展有限公司)的冷链物流追溯系统,该系统于2012年上线运营至今已积累了一批冷链相关的企业用户。但是随着信息技术尤其是物联网技术在冷链物流追溯中的不断融合,CX公司的冷链物流追溯系统在满足用户的新需求、适应时代发展潮流方面也面临着新的挑战。在此背景之下,本文提出对CX公司的冷链物流追溯系统进行优化研究。首先梳理了冷链物流追溯相关概念和理论,对比分析国内外的研究现状,明确了支撑本论文研究的理论基础包括冷链物流追溯、Ecode物联网和业务地址解析技术三个方面。然后,在充分分析CX公司的冷链物流追溯系统现状的基础上,首先简单归纳出该系统存在的问题,然后采用德尔菲法进行优化需求关键因素的识别,找到了用户体验、信息管理和标准化共3大类包括10项具体关键需求。最后利用层次分析法对优化需求的关键因素展开评价,最终确定CX公司的冷链物流追溯系统优化的关键是在高效的信息共享的基础上实现单品级全流程冷链追溯。通过前期的优化需求分析,以实现高效信息共享基础上的单品级全流程冷链追溯为目标,基于Ecode物联网标识体系并融合了业务地址解析技术对CX公司的冷链物流追溯系统进行优化设计,从冷链物流追溯流程和功能层面做出了详细的优化方案。最后以作者在CX公司实习期间所参与的肇庆冷链物流系统升级改造项目为实例应用背景,将优化后的方案应用到蜜桔的冷链全流程追溯中,从而验证了优化需求分析和优化设计的有效性。
[Abstract]:In recent years, with the improvement of people's living standard and the continuous improvement of social informatization, the quality and safety of food / agricultural products have been paid more and more attention by all walks of life. Since the national policy document "Cold chain Development Plan for Agricultural products" was issued in 2010, cold chain logistics has entered a stage of rapid development in China. The construction of cold chain logistics traceability system in government departments is being strengthened continuously. In order to meet the needs of consumers for the quality and safety of cold chain food / agricultural products, enterprises are also actively building the cold chain logistics traceability system. The research object of this thesis is the cold chain logistics traceability system of CX Company (Beijing) Technology Development Co., Ltd., which has accumulated a number of users of cold chain related enterprises since its launch in 2012. However, with the continuous integration of information technology, especially the Internet of things technology in cold chain logistics traceability, CX's cold chain logistics traceability system is facing new challenges in meeting the new needs of users and adapting to the trend of development of the times. Under this background, this paper proposes to optimize the cold chain logistics traceability system of CX Company. Firstly, this paper combs the related concepts and theories of cold chain logistics traceability, compares and analyzes the current research situation at home and abroad, and clarifies that the theoretical basis of this paper includes three aspects: cold chain logistics traceability, Ecode Internet of things and business address resolution technology. Then, on the basis of fully analyzing the current situation of cold chain logistics traceability system of CX Company, the problems of this system are summarized simply, then the key factors of optimizing demand are identified by Delphi method, and the user experience is found. The three categories of information management and standardization consist of 10 specific key needs. Finally, the key factors of optimization demand are evaluated by AHP, and the key to optimize the cold chain logistics traceability system of CX Company is to realize the cold chain traceability of single grade whole process on the basis of efficient information sharing. Through the pre-optimization requirement analysis, the goal is to realize the single-grade whole process cold chain tracing on the basis of efficient information sharing. The cold chain logistics traceability system of CX Company is optimized and designed based on the Ecode Internet of things identification system and the business address resolution technology. The detailed optimization scheme is made from the cold chain logistics tracing process and function level. Finally, with the application background of Zhaoqing cold chain logistics system upgrade project which the author participated in during his internship in CX Company, the optimized scheme was applied to the whole cold chain process of orange. Thus, the effectiveness of optimization requirement analysis and optimization design is verified.
【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】：F49;F253.9

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