{"title":"面向过程质量控制的智能决策支持系统","authors":"X. Jiang, X. Sun, Shijie Wang, Xinmin Zhang","doi":"10.1109/ICAL.2010.5585362","DOIUrl":null,"url":null,"abstract":"How to solve the problems of monitoring dynamic and variable quality variation, diagnosing the abnormal variation and adjusting the process quality at the right moment, is a difficult problem that modern manufacturing enterprise faces challenges of process quality control. An intelligent decision support system for process quality control is presented, the corresponding decision support modules (such as data acquisition, data management, process analysis, dynamic diagnosis, real-time adjustment, expert system and so on) are built based on the design idea of decision support system with multi-structure through the share of resource and information; and the functions of each module are designed and described, and the solutions of decision are proposed. So, the work of this paper provides a theoretical basis and technological insurance for the development of the intelligent decision support system for process quality control.","PeriodicalId":393739,"journal":{"name":"2010 IEEE International Conference on Automation and Logistics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"An intelligent decision support system for process quality control\",\"authors\":\"X. Jiang, X. Sun, Shijie Wang, Xinmin Zhang\",\"doi\":\"10.1109/ICAL.2010.5585362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How to solve the problems of monitoring dynamic and variable quality variation, diagnosing the abnormal variation and adjusting the process quality at the right moment, is a difficult problem that modern manufacturing enterprise faces challenges of process quality control. An intelligent decision support system for process quality control is presented, the corresponding decision support modules (such as data acquisition, data management, process analysis, dynamic diagnosis, real-time adjustment, expert system and so on) are built based on the design idea of decision support system with multi-structure through the share of resource and information; and the functions of each module are designed and described, and the solutions of decision are proposed. So, the work of this paper provides a theoretical basis and technological insurance for the development of the intelligent decision support system for process quality control.\",\"PeriodicalId\":393739,\"journal\":{\"name\":\"2010 IEEE International Conference on Automation and Logistics\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Automation and Logistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2010.5585362\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Automation and Logistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2010.5585362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An intelligent decision support system for process quality control
How to solve the problems of monitoring dynamic and variable quality variation, diagnosing the abnormal variation and adjusting the process quality at the right moment, is a difficult problem that modern manufacturing enterprise faces challenges of process quality control. An intelligent decision support system for process quality control is presented, the corresponding decision support modules (such as data acquisition, data management, process analysis, dynamic diagnosis, real-time adjustment, expert system and so on) are built based on the design idea of decision support system with multi-structure through the share of resource and information; and the functions of each module are designed and described, and the solutions of decision are proposed. So, the work of this paper provides a theoretical basis and technological insurance for the development of the intelligent decision support system for process quality control.