物流信息管理中DSS系统的设计与应用

发布时间：2018-06-18 13:26

  本文选题：决策支持系统 + 数据仓库　； 参考：《电子科技大学》2015年硕士论文

【摘要】：随着现代科技化,信息化的发展,物流行业在经营的各个环节对管理的要求逐渐提升,随着信息量的日益加大,也越来越需要先进信息技术的支持。决策支持系统的出现,促使物流行业各个环节得以精确衔接,极大地提高了物流效率,避免不必要的浪费,充分利用过去零散的信息,建立物流决策机制,降低营运费用和产品成本,加快资金周转等系列问题有了深远的影响。本文探讨了如何将决策支持系统用于物流管理领域,为物流行业探索了一条新的思路。本文探讨了决策支持系统在普洛斯-集发大连保税港物流园公司的应用。决策支持系统无论在概念、结构方面还是在应用方面都取得了较快的发展,数据仓库与数据挖掘技术的出现是由决策支持系统发展所需要,研究可解决物流商品采购及库存问题,极大的提高商品采购及库存决策的科学性和实效性。阐述物流管理的业务活动之间的关系,设计了数据仓库的逻辑模型、概念模型、数据仓库的使用与维护、生成数据仓库。通过SQL Server 2005中的SSIS组件,实现了数据抽取、转换、加载,以满足联机分析处理的需求。本文从需求分析和可行性分析量方面来进行系统分析,并给出系统的各功能模块以及子系统的具体功能模块。在此基础上提出了本系统实施中所采用的需求分析方法,根据企业的业务流程设计系统的功能模块结构分为:采购管理模块、生产管理模块、库存管理模块、销售管理模块和信息维护模块。通过挖掘其中的规律,为提供相应的销售策略,深入发掘有潜力的优质客户,能够调整企业各项资源的合理调度,使企业运营效率得以提高,降低成本,更好地实现企业与消费市场之间互动,及时有效地完成物流操作;客户信用分析的应用,减少企业的损失,降低坏账损失,淘汰劣质客户,在往后的交易中加强防范意识。
[Abstract]:With the development of modern science and technology and the development of information, the requirement of management in all aspects of logistics industry has been raised gradually, and with the increasing amount of information, the support of information technology is needed more and more. The emergence of decision support system (DSS) promotes the precise connection of various links in the logistics industry, greatly improves the efficiency of logistics, avoids unnecessary waste, makes full use of the scattered information of the past, and establishes the decision-making mechanism of logistics. Reduce operating costs and product costs, speed up the flow of funds and other issues have a far-reaching impact. This paper discusses how to apply decision support system to the field of logistics management, and explores a new way of thinking for logistics industry. This paper discusses the application of decision support system in Prospers-Jiafa Dalian bonded Port Logistics Park Company. Decision support system (DSS) has made rapid development in concept, structure and application. The emergence of data warehouse and data mining technology is needed by the development of DSS. The research can solve the problem of logistics commodity purchase and inventory, and greatly improve the scientificity and effectiveness of commodity purchase and inventory decision. This paper expounds the relationship between the business activities of logistics management, designs the logical model, the conceptual model, the use and maintenance of the data warehouse, and generates the data warehouse. Through the SSIS component in SQL Server 2005, the data extraction, transformation and loading are realized to meet the needs of on-line analytical processing. In this paper, the system is analyzed from the aspects of requirement analysis and feasibility analysis, and the functional modules of the system and the specific functional modules of the subsystem are given. On this basis, the requirement analysis method used in the implementation of the system is put forward. According to the functional module structure of the business process design system of the enterprise, it is divided into: procurement management module, production management module, inventory management module, Sales management module and information maintenance module. In order to provide the corresponding sales strategy and explore the potential high quality customers, we can adjust the reasonable scheduling of the enterprise resources, improve the efficiency of the enterprise operation and reduce the cost. The application of customer credit analysis can reduce the loss of enterprises, reduce the loss of bad debts, eliminate inferior customers, and strengthen the awareness of prevention in future transactions.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.52
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本文编号：2035634