The Study On Quality Decision Support System Based On Networked Manufacturing Mode

The networked manufacturing mode has become the development trend of manufacturing system pattern. The enterprises of networked manufacturing mode must establish the quality management pattern to adapt the networked manufacturing mode based on the idea of modern quality management to achieve great successes and occupy the market with the products which can meet the need of customers. For the purpose of increasing the decision efficiency of the decision-maker of all levels quality management in the networked manufacturing enterprise that can meet the need of the market with quick response, this dissertation studied thoroughly the quality management pattern of networked manufacturing and presented the settling plan of quality management decision support system based on the data warehouse to give backing to the decision-maker to analysis and make decision quickly. At the same time, a systematic and thorough research was made on this plan from the point of theory and application.The dissertation first of all analyzed the challenges with which the quality management was faced under the new circumstances. The challenges include the renovation of quality management idea, the customers' increasing expectation of quality, the new manufacturing mode emerging in endlessly, and the life cycle of product being shortening. In front of the new challenges, it has become the necessarily trend for the enterprises of networked manufacturing mode to establish the quality management decision support system that based on the modern quality management theory and supported by the advanced information technology. And then the dissertation elaborated in detail the development condition, application field, the present research hotspot and the prospects of technology development of the decision support system.On the basis of the fundamental of modern quality management, the dissertation studied the management idea from the view of market, customer, employee, training, quality management system, enterprise culture, science and technology, sustained improvement, formation process of product and management on the spot. And then it concluded that modern quality management must be centered with customers, driven by the market, founded on the human resources, conditioned with training, central with the soul of enterprise culture, ensured by quality management system, supported by the science and technology, channeled by sustained improvement, taken the formation process as the object and laid emphasis on the management of the spot.Advanced manufacturing mode is emerging in endlessly. The dissertation studied the quality management with the carrier of networked manufacturing mode. After the thoroughly researches on the ways, object and focal point of quality management of networked manufacturing mode, the dissertation concluded that the quality management of networked manufacturing mode was the highly efficient management of quality information. And then, with the further study, it summarized that the class of quality information of networked manufacturing mode included the quality information of market, the quality characteristic structural information of the product, the quality information of member enterprises, the information of quality task, the mapping information between the quality task and member enterprise, the information of the fulfillment of task, the quality command information, the information of all kinds of material object and their circulation among the member enterprises of networked manufacturing.The steep rise of the volume and the kind of information, and their complicated relation make it extremely difficult to make the quality decision in the networked manufacturing enterprise. So the superior quality supervisors find it difficult to make quickly decision about the quality problem they are concerned. To solve this problem, the dissertation presented the settling plan which applied comprehensively the technologies of decision support system (DSS), data warehouse (DW) and on-line analytical processing (OLAP) to t...