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Door industry products have highly customized and personalized requirements for material, specification, size, color and style, and its time limit for a project is short, order quantity is huge, order quantity for single order is less, and the production mode is typically mass customization production, this brings higher requirements and challenges to workshop quality control of doors manufacturing industry. This paper mainly explores workshop quality control mode and information system design in doors manufacturing industry.Firstly, according to the production features of door manufacturing enterprise and existing problems of its workshop quality control, a workshop quality control mode of doors manufacturing industry based on data warehouse was put forward. Based on this model, and the workshop quality control process of doors manufacturing industry was analyzed and optimized.Secondly, door manufacturing industry workshop quality data warehouse related technologies were studied: the overall framework of door manufacturing industry workshop quality data warehouse was out forward; the integration of data warehouse and door manufacturing industry workshop quality control was studied, and the conceptual model, a logical model and physical model of door manufacturing quality data warehouse were designed; according to the data in the data warehouse and quality control theme, multidimensional information system was built, in order to provide a good information service for door manufacturing quality management information research; based on rough sets and artificial neural network theory, the quality prediction model of door manufacture workshop was established, in order to simulate product quality situation after production scheduling plan, thus the production scheduling could be optimized.Thirdly, based on study of above quality control mode, a workshop quality control integrated information system was designed, and the effectiveness of the door manufacturing industry workshop quality control mode ware verified.At last, the mode and system were preliminarily applied in a doors manufacturing enterprise in Chongqing, and their validity was verified.
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