本文選題：決策支持系統(tǒng) + 數(shù)據(jù)倉(cāng)庫(kù)��； 參考：《電子科技大學(xué)》2015年碩士論文

【摘要】：隨著現(xiàn)代科技化,信息化的發(fā)展,物流行業(yè)在經(jīng)營(yíng)的各個(gè)環(huán)節(jié)對(duì)管理的要求逐漸提升,隨著信息量的日益加大,也越來越需要先進(jìn)信息技術(shù)的支持。決策支持系統(tǒng)的出現(xiàn),促使物流行業(yè)各個(gè)環(huán)節(jié)得以精確銜接,極大地提高了物流效率,避免不必要的浪費(fèi),充分利用過去零散的信息,建立物流決策機(jī)制,降低營(yíng)運(yùn)費(fèi)用和產(chǎn)品成本,加快資金周轉(zhuǎn)等系列問題有了深遠(yuǎn)的影響。本文探討了如何將決策支持系統(tǒng)用于物流管理領(lǐng)域,為物流行業(yè)探索了一條新的思路。本文探討了決策支持系統(tǒng)在普洛斯-集發(fā)大連保稅港物流園公司的應(yīng)用。決策支持系統(tǒng)無論在概念、結(jié)構(gòu)方面還是在應(yīng)用方面都取得了較快的發(fā)展,數(shù)據(jù)倉(cāng)庫(kù)與數(shù)據(jù)挖掘技術(shù)的出現(xiàn)是由決策支持系統(tǒng)發(fā)展所需要,研究可解決物流商品采購(gòu)及庫(kù)存問題,極大的提高商品采購(gòu)及庫(kù)存決策的科學(xué)性和實(shí)效性。闡述物流管理的業(yè)務(wù)活動(dòng)之間的關(guān)系,設(shè)計(jì)了數(shù)據(jù)倉(cāng)庫(kù)的邏輯模型、概念模型、數(shù)據(jù)倉(cāng)庫(kù)的使用與維護(hù)、生成數(shù)據(jù)倉(cāng)庫(kù)。通過SQL Server 2005中的SSIS組件,實(shí)現(xiàn)了數(shù)據(jù)抽取、轉(zhuǎn)換、加載,以滿足聯(lián)機(jī)分析處理的需求。本文從需求分析和可行性分析量方面來進(jìn)行系統(tǒng)分析,并給出系統(tǒng)的各功能模塊以及子系統(tǒng)的具體功能模塊。在此基礎(chǔ)上提出了本系統(tǒng)實(shí)施中所采用的需求分析方法,根據(jù)企業(yè)的業(yè)務(wù)流程設(shè)計(jì)系統(tǒng)的功能模塊結(jié)構(gòu)分為:采購(gòu)管理模塊、生產(chǎn)管理模塊、庫(kù)存管理模塊、銷售管理模塊和信息維護(hù)模塊。通過挖掘其中的規(guī)律,為提供相應(yīng)的銷售策略,深入發(fā)掘有潛力的優(yōu)質(zhì)客戶,能夠調(diào)整企業(yè)各項(xiàng)資源的合理調(diào)度,使企業(yè)運(yùn)營(yíng)效率得以提高,降低成本,更好地實(shí)現(xiàn)企業(yè)與消費(fèi)市場(chǎng)之間互動(dòng),及時(shí)有效地完成物流操作;客戶信用分析的應(yīng)用,減少企業(yè)的損失,降低壞賬損失,淘汰劣質(zhì)客戶,在往后的交易中加強(qiáng)防范意識(shí)。
[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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP311.52
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本文編號(hào)：2035634