| ARMA-GM combined forewarning model for the quality control |
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| 作者姓名： | Wang Xingyuan & Yang Xu . Shandong University Jinan P. R. China. Shandong Institute of Architecture and Engineering Jinan P. R. China |
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| 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 |
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| 摘 要： | 1.INTRODUCTION Tocontrolthequalityoftheproducts,wemustsu pervisethequalityindexesandanalyzethechanging tendency.Therearealotofstatisticaltoolsincom monuse,themosteffectivemethodisacontrol chart.Itcangrasptheabnormalsymptomofatrend ofthequalityofproductsincontrollingprocessand makethequalitypreventionpossible.Butfromits workingprocessweknowthismethodalsohassome limitation.Becausethecontrolchartonlydetermines theaveragevalueandlimitinterval,onecanonly judgethequalitystateofproductsstatica…
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ARMA-GM combined forewarning model for the quality control |
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| Wang Xingyuan & Yang Xu . Shandong University,Jinan ,P. R. China. Shandong Institute of Architecture and Engineering,Jinan ,P. R. China.ARMA-GM combined forewarning model for the quality control[J].Journal of Systems Engineering and Electronics,2005,16(1). |
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| Authors: | Wang Xingyuan Yang Xu |
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| Institution: | 1. Shandong University, Jinan 250100, P. R. China
2. Shandong Institute of Architecture and Engineering, Jinan 250014, P. R. China |
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| 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. |
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| Keywords: | auto-regressive moving average model (ARMA) grey system model (GM) combined forewarning model quality control |
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