Study On Application Of Apparel Informationization Platform (ASP) And Data Mining

With the continuous progress of economic globalization and the rapid development of information technology, each enterprise is facing the global market and participating in the global market competition. The informationization is definitely enhancing the enterprises' evolution of traditional management mode.Most of the domestic apparel enterprises are troubled with the unwieldy inventory, which has limited their further development. The inventory problem is resulted from many aspects, and the tardy arrival and unshared information are the most important ones, which are leading apparel enterprises to be unable to fully know the market, and so here come the tardy and uncertain decisions and bullwhip effect on supply chain.The quick response system is one of the effective schemes solving the inveftory problem. By using network information technology, enterprises can collect and transmit sale, stock, demand information in time, reducing the uncertainty of enterprise's decision greatly and avoiding the bullwhip effect. Internet also helps enterprises link with all supply channels. In addition, with the help of high-efficient logistics and delivers system and scientific management system, enterprises can realize the quick response to the market and strengthen the ability of dealing with the fluctuation of demand. High-efficient information management system and decision-making system are the key point of realizing QR (Quick Response). For the low degree of information management and the weak usage of data mining in domestic apparel enterprises at present, the primary task of establishment of quick response system is to enhance apparel enterprise's information-managed level and improve the ability of making use of data mining.ASP (Application Service Provider) is centered on application service of software for the purpose of sharing resources and lowering social costs. Enterprises can directly use various software systems through internet after the rent payment at a lower price, establishing its own informationization. But enterprises' informationization is not enough for theQRS-Building (Quick Response System); it also requires a high-efficiency decision-making. Data Mining is also called Knowledge Discovery in Database, meaning that it analyses the information data through mathematics and statistical method, which is to find useful knowledge or rule hidden behind, supporting the decision-making. At present, the domestic application of ASP in apparel industry is still in its beginning stages and it isn't perfect at all. Therefore, it is necessary to study on application of apparel ASP platform and to probe into its development direction. Based on such reality, this thesis is connected with the scientific research work of Shanghai Association of Apparel information committee Project "Establishment of Apparel Informationization Platform (ASP) of Shanghai". In this thesis, the development of ASP both at home and abroad is introduced, the solution of establishment of Apparel ASP Platform and Data Mining in sales data is analyzed, and the plan of the application of ASP Platform in domestic apparel industry is put forward. This thesis strives to be of value of reference to the improvement both in information management and decision-making in domestic apparel industry.