| With the increasingly fierce automobile industry competition, the Automobile Enterprises gain customer loyalty by promoting the product quantity, even more pay great attention to the after-sales service, meanwhile, the after-sales service has already become the best way to win the customer loyalty and obtain the main profit.The invalid parts management of automobile in after-sales service is the subsystem of the after-sales service system, by taking the Middle-small automobile enterprise as the research object, with the demand of an enterprise (the target enterprise) ,this research subject analyzes the business and business process of invalid parts management, according to the function demand, user's information environment and the computer application's characteristic, design the architecture model based on the ASP platform, the function deployment model, the database conceptual model and logistic model; furthermore, a detailed description of the realize in detail for the main function module, realize the data exchange system which may be disposed.Along with realizing the information management of the invalid parts, to support the enterprise decision, the enterprise wants to find a way to min the knowledge behind the invalid parts information. Using the methods of statistic and query can only provide the knowledge of surface, with the demand of the enterprise, to support the enterprise decision, this dissertation uses the data mining technology to min the knowledge.Using BP Neural Networks Analyze the theme of the service-charge of service-station to control service-charge for the enterprise expediter to monitor the service-station, with the technology of K-means cluster analysis and the FP-Growth association practical rules to min the knowledge behind the invalid parts information to support the enterprise make the marketing decision. The application of these technology has important significance for the invalid parts management. |
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