Study On Total Quality Management System Model Based On Quality Information Technology Integration

This paper is supported by the project: INTEGRATIVE QUALITY Management System based on Quality Information Technology Integration, which is supported by National Natural Science Foundation of China (No.70272032).Integrative quality management system model based on quality information technology integration is the main study of the paper. Several new theories, new methods and new models were proposed: integrative quality management system based on quality monitoring and quality management;new theories and methods of modern quality management;methods of information acquirement, transmission and disposal;several mathematics models, methods of quality management, monitoring and evaluation;etc..By combining quality monitoring technology with quality management, overall model of Integrative quality management system based on quality information technology integration was proposed. Nine models were emphasized to build an overall frame of the system. These models are Integrative quality management conceptual model, mathematical model based on performance goal, three-dimension model of information integration methods based on system engineering, and so on.Quality information acquirement, transmission and disposal methods and models of modern enterprise were studied. Three-dimension quality information backward model and causal mathematical model were set up, to study causal intensity analysis method based on search engine. A three-layer network transmission architecture model and a WAN optimal transmission model for quality information were set up. A five-layer coding method of measuring instruments was studied to realize intelligent character recognition based on BP neural network. And it proved to be higher accuracy and fault-tolerance ability. Dynamic gray prediction model of quality information was studied, to predict verification cycle of measuring instruments, and it has satisfying accuracy. Dynamic sensor compensation method based on supported vector machine was studied. It shortens the time to stable and improves the accuracy of dynamic measuring system. A cluster analysis method of quality information based on SFOM network was also studied. It realized distinguishing different type of quality information samples, analyzing consistence among the same type of quality information samples, and analyzing consistence sequence between a large amount of detected samples and standard samples.Quality management, monitoring and evaluation models were set up. Quality innovation performance model, factor model and quality innovation structure model of products were set up. A function model of optic-mechano-eiectronic quality monitoring system based on web was studied, to set up mathematics fault diagnoses model and multi-sensor fault monitoring and recognition system of automobile. Intelligent recognition was realized by BP neural network. A filament quality acquirement method by single beam illumination and its mathematics model were studied. With some prediction simulation based on RBFNN (Radial Basis Functions neural network), it is proved to be satisfying accuracy and be suitable for real-time monitoring. An architecture and mathematics model of multi-level synthesis valuation on quality innovation performance goal and a mathematics model of efficiency optimal evaluation on quality control based on DEA were set up. Valuation on relative validity sequence of quality control combined with Matlab was realized.Modern theories such as Fuzzy Set Theory, Gray System theory, Neural Network Theory, etc. were used in the study to build mathematical models of Integrative quality management system. Modern Information Technology, Computer Technology were used to realize the system and to provide realistic methods and techniques. Besides System, Information, Control Theories, Concurrent Engineering, etc., there were some other subjects were introduced into the study to build integrative quality management system based on quality technology integration, such as Information Science, Computer Technology, Measurement and Control Technology, Mathematics, and so on. It introduces some new thoughts and methods into the research on quality management of Chinese modern enterprises. With experiments and empirical study on enterprises, it has scientific and wildly application significance. It will improve overall quality and core competence of enterprises, shorten the high-tech quality management gap between our country and developed country, and propel the development of Management Science.