The Implementation Of Data Mining In The Management Of Tobacco Companies' Supply Chain

As a key subject in information technology, data mining has raised more and more attention. While the technology is becoming mature, data mining has been implemented into the enterprise management. As a result, it will have a considerably influence to utilize data mining in the management of enterprise supply chain.This essay is based on the discussion of the theory of supply chain management, and it will have a deeply research about the data mining technology deployed in enterprise supply chain. Firstly, it will introduce the foundation of supply chain management. Secondly, it will describe the technology and method of data mining, the structure model of the implement of the data mining. Finally, based on the previous theory presented in the first two sections, it will discuss the method of creating supply chain management database. It is suggested that the enterprise should focusing on the whole supply chain management, study the implementation of the data mining in supply chain. These will realize enterprise supply chain collaborative management. The enterprise will use fuzzy data mining to choose supply chain partner. This essay will use tobacco giant as case study, presenting the necessarily and urgency of improvement of supply chain management in tobacco company. After creating a multi dimension supply chain database with fuzzy data mining algorithm, it will analyse the tobacco companies based on the supply partners which have been chosen by tobacco companies themselves. In the rest part of this essay, it will introduce fuzzy set theory into the clustering and classification of tobacco industry. It will also create a fuzzy matrix, make a decision plan and finally select the most appropriate partner for these tobacco companies.