A Supplier Evaluation Research Of The Mobile Phone Accessories Based On Data Mining

With the continuous improvement of people’s living standard, the phone has gradually transformed from the initial luxury to fast moving consumer goods, competition between phone companies is increasingly fierce. Prices and quality of mobile phone accessories not only directly affect the final cost and quality of the phone, but also affect the credibility and long-term development of a mobile phone enterprises. The problem that how to choose a reasonable mobile phone accessories supplier is urgently need to be resolved for every phone company.Currently, the world has entered "big data" era. Ability to achieve massive data mining and effective use to grasp the mystery behind data directly affects satisfaction level of consumer demand for services and improvement of overall competitiveness. With the development of computer science and technology, enterprises of raw materials and parts procurement, manufacturing, sales and trading activities with suppliers, distributors and even customers achieve information management database, which offers a possibility for enterprises making use of data mining technology to supplier evaluation and selection.The status of the company WH mobile phone accessories supplier evaluation index system has been described, a large number of supplier evaluation literature and the analysis of mobile phone accessories characteristics has been researched,26 secondary indicators such as rate of qualified products, the purchase price, on-time delivery has been selected, the method of statistical factor analysis has been used, and six common factors has been extracted, corresponding to the name of six-level indicators, such as quality, price, technology, service, delivery capabilities and business conditions, a new set of mobile phone accessories supplier evaluation system for WH company has been built. Then several common vendor assessment methods has been analyzed and compared, and the necessity and feasibility of data mining technology in the supplier evaluation has been explained, supplier evaluation model based on FP-growth algorithm of association rules has been established, in the Oracle database and integrated development environment of MyEclipse, raw data of 26 secondary indicators in WH company database has been discretd through Java SE technology, the historical transaction performance evaluation of alternative suppliers through FP-growth algorithm has been achieved, the output results of the algorithm model has been analyzed effectively, the supplier which is better than other supplier has been selected, providing a quantitative reference for WH company purchasing mobile phone accessories.