Investigating Effect of Autocorrelation on Monitoring Multivariate Linear Profiles
سال انتشار: 1391
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 661
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شناسه ملی سند علمی:
JR_IJIEPR-23-3_003
تاریخ نمایه سازی: 7 شهریور 1393
چکیده مقاله:
Profile monitoring in statistical quality control has attracted attention of many researchers recently. A profile is a function between response variables and one or more independent variables. There have been only a limited number of researches on monitoring multivariate linear profiles. Indeed, monitoring correlated multivariate profiles is a new subject in the filled of statistical process control. In this paper, we investigate the effect of autocorrelations in monitoring multivariate linear profiles in phase II. The effect of three main models namely AR(1), MA(1), and ARMA(1,1) on the methods of multivariate linear profile monitoring is evaluated and compared by using simulation study and average run length criteria. Results indicate that autocorrelation affects performance of the existing methods significantly.
کلیدواژه ها:
نویسندگان
P. Soleimani
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
R. Noorossana
Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran