جلد 28، شماره 4 - ( Ijiepm 1396 )                   جلد 28 شماره 4 صفحات 367-376 | برگشت به فهرست نسخه ها

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Noorossana R, Najafi M. Change Point Estimation in High Yield Processes in the Presence of Serial Correlation. IJIEPR. 2017; 28 (4) :367-376
URL: http://ijiepr.iust.ac.ir/article-1-687-fa.html
Change Point Estimation in High Yield Processes in the Presence of Serial Correlation. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1396; 28 (4) :367-376

URL: http://ijiepr.iust.ac.ir/article-1-687-fa.html


چکیده:   (344 مشاهده)

Change point estimation is as an effective method for identifying the time of a change in production and service processes. In most of the statistical quality control literature, it is usually assumed that the quality characteristic of interest is independently and identically distributed over time. It is obvious that this assumption could be easily violated in practice. In this paper, we use maximum likelihood estimation method to estimate when a step change has occurred in a high yield process by allowing a serial correlation between observations. Monte Carlo simulation is used as a vehicle to evaluate performance of the proposed method. Results indicate satisfactory performance for the proposed method.

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نوع مطالعه: پژوهشي | موضوع مقاله: کنترل کیفیت
دریافت: ۱۳۹۵/۵/۱۳ | پذیرش: ۱۳۹۶/۹/۱۳ | انتشار: ۱۳۹۶/۱۰/۳۰

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