【摘要】：隨著IT技術(shù)的發(fā)展與社會分工模式的改進，企業(yè)之間單打獨斗的競爭方式已經(jīng)無法滿足市場的需要。IT產(chǎn)業(yè)聯(lián)盟開始受到全球的關(guān)注與重視。為了促進IT產(chǎn)業(yè)的發(fā)展，IT企業(yè)需要凝聚IT產(chǎn)業(yè)中供應鏈上下游資源，形成資源共享的供應鏈合作形式，避免重復開發(fā)與建設(shè)。由企業(yè)與企業(yè)之間的競爭轉(zhuǎn)化為供應鏈與供應鏈的競爭。IT產(chǎn)業(yè)聯(lián)盟的方式不但可以共擔企業(yè)的運作風險，還可以共享企業(yè)的技術(shù)，知識和信息，從而形成優(yōu)勢互補，帶動技術(shù)的發(fā)展。然而，單純依靠市場的力量，在IT產(chǎn)業(yè)聯(lián)盟中往往難以快速形成有利于企業(yè)長遠發(fā)展的最佳供應鏈合作伙伴。因此，應用科學的方法幫助企業(yè)選擇適合自己的供應鏈合作伙伴具有重大的意義。 首先，本文分析了IT產(chǎn)業(yè)聯(lián)盟的現(xiàn)狀，界定了IT產(chǎn)業(yè)聯(lián)盟的范圍與特點。梳理了目前IT產(chǎn)業(yè)聯(lián)盟的功能與模式，從而明確IT產(chǎn)業(yè)聯(lián)盟供應鏈合作伙伴的關(guān)系特點與要求。綜合IT產(chǎn)業(yè)聯(lián)盟的現(xiàn)狀，權(quán)衡企業(yè)供應鏈的風險與收益，運用主成分分析法，應用SPSS軟件，建立IT產(chǎn)業(yè)聯(lián)盟供應鏈合作伙伴選擇指標評價體系。 其次，通過對數(shù)據(jù)倉庫技術(shù)理論與應用的研究，本文根據(jù)IT產(chǎn)業(yè)聯(lián)盟的總體需求目標，創(chuàng)建了數(shù)據(jù)倉庫的概念模型，邏輯模型以及物理模型。數(shù)據(jù)倉庫的創(chuàng)建為數(shù)據(jù)挖掘的關(guān)聯(lián)分析提供了數(shù)據(jù)模型。運用數(shù)據(jù)挖掘中的聚類分析方法，對研究對象的供應鏈合作伙伴進行了初步的分類篩選。為進一步挖掘長期的合作伙伴做數(shù)據(jù)準備。對數(shù)據(jù)挖掘關(guān)聯(lián)分析中最經(jīng)典的Apriori算法進行了改進，利用Mapreduce和Bigtable的屬性，提高了Apriori算法的運行處理速度。應用改進后的Apriori算法，建立了供應鏈合作伙伴選擇模型，從IT企業(yè)供應鏈合的作伙伴海量數(shù)據(jù)中，進一步挖掘出潛在的合作伙伴。 最后，以華為公司為例，應用本文創(chuàng)建的供應鏈合作伙伴選擇模型進行了實例驗證分析。結(jié)果表明，本文的研究具有一定的應用價值與借鑒意義。
[Abstract]:With the development of IT technology and the improvement of social division of labor mode, the single competition mode between enterprises has been unable to meet the needs of the market. The IT industry alliance has been paid more attention and attention all over the world. In order to promote the development of IT industry, IT enterprises need to condense the upstream and downstream resources of supply chain in IT industry, form the supply chain cooperation form of resource sharing, and avoid repeated development and construction. From the competition between enterprises to the competition between supply chain and supply chain, IT industry alliance can not only share the operational risks of enterprises, but also share the technology, knowledge and information of enterprises, thus forming complementary advantages. Drive the development of technology. However, relying solely on market forces, it is often difficult to quickly form the best supply chain partners in IT industry alliances that are conducive to the long-term development of enterprises. Therefore, it is of great significance to apply scientific methods to help enterprises select suitable supply chain partners. Firstly, this paper analyzes the current situation of IT industrial alliance, and defines the scope and characteristics of IT industrial alliance. The function and mode of IT industry alliance are combed in order to clarify the relationship characteristics and requirements of supply chain partners of IT industry alliance. By synthesizing the present situation of IT industry alliance, weighing the risks and benefits of enterprise supply chain, using principal component analysis method and SPSS software, the evaluation system of IT industry alliance supply chain partner selection index is established. Secondly, based on the research of the theory and application of data warehouse technology, this paper establishes the conceptual model, logical model and physical model of data warehouse according to the overall demand goal of IT industry alliance. The establishment of data warehouse provides a data model for association analysis of data mining. By using the clustering analysis method in data mining, the supply chain partners of the research object are preliminarily classified and screened. Prepare data for further mining of long-term partners. The classical Apriori algorithm in data mining association analysis is improved, and the processing speed of Apriori algorithm is improved by using the attributes of Mapreduce and Bigtable. Based on the improved Apriori algorithm, the supply chain partner selection model is established, and the potential partners are further mined from the massive data of the IT enterprise supply chain partners. Finally, taking Huawei Company as an example, the model of supply chain partner selection established in this paper is used to verify and analyze the example. The results show that the research in this paper has certain application value and reference significance.
【學位授予單位】：哈爾濱理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F274;F426.63

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