首页 | 本学科首页   官方微博 | 高级检索  
     

ARMA-GM combined forewarning model for the quality control
引用本文:Wang Xingyuan 1 & Yang Xu 21. Shandong University,Jinan 250100,P. R. China2. Shandong Institute of Architecture and Engineering,Jinan 250014,P. R. China. ARMA-GM combined forewarning model for the quality control[J]. 系统工程与电子技术(英文版), 2005, 16(1)
作者姓名:Wang Xingyuan 1 & Yang Xu 21. Shandong University  Jinan 250100  P. R. China2. Shandong Institute of Architecture and Engineering  Jinan 250014  P. R. China
作者单位:Wang Xingyuan 1 & Yang Xu 21. Shandong University,Jinan 250100,P. R. China2. Shandong Institute of Architecture and Engineering,Jinan 250014,P. R. China
摘    要:1.INTRODUCTION Tocontrolthequalityoftheproducts,wemustsu pervisethequalityindexesandanalyzethechanging tendency.Therearealotofstatisticaltoolsincom monuse,themosteffectivemethodisacontrol chart.Itcangrasptheabnormalsymptomofatrend ofthequalityofproductsincontrollingprocessand makethequalitypreventionpossible.Butfromits workingprocessweknowthismethodalsohassome limitation.Becausethecontrolchartonlydetermines theaveragevalueandlimitinterval,onecanonly judgethequalitystateofproductsstatica…


ARMA-GM combined forewarning model for the quality control
Wang Xingyuan,Yang Xu. ARMA-GM combined forewarning model for the quality control[J]. Journal of Systems Engineering and Electronics, 2005, 16(1)
Authors:Wang Xingyuan  Yang Xu
Affiliation:1. Shandong University, Jinan 250100, P. R. China
2. Shandong Institute of Architecture and Engineering, Jinan 250014, P. R. China
Abstract:Three forecasting models are set up: the auto|regressive moving average model, the grey forecasting model for the rate of qualified products P t, and the grey forecasting model for time intervals of the quality catastrophes. Then a combined forewarning system for the quality of products is established, which contains three models, judgment rules and forewarning state illustration. Finally with an example of the practical production, this modeling system is proved fairly effective.
Keywords:auto-regressive moving average model (ARMA)   grey system model (GM)   combined forewarning model   quality control.
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号