Change Points Estimation in Shewhart Control Charts Using Fuzzy Clustering Approach
محل انتشار: هشتمین کنفرانس بین المللی مهندسی صنایع
سال انتشار: 1391
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,175
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شناسه ملی سند علمی:
IIEC08_254
تاریخ نمایه سازی: 7 آذر 1391
چکیده مقاله:
Control charts are mainly used to determine whether a process is in a state of statistical control or not. If the chart shows the out-of-control signal, it indicates a variation in the process. Aweakness of these charts is that they can not indicate the real time of the process change to determine the source of variations.In this article we investigate the problem of finding change points in different types of control charts by modifying a fuzzystatistical clustering algorithm. For implementing the algorithm in change points estimation, we considered the probability of membership of each observation to its assumed cluster and use itas a similarity measure in clustering. Using an objective function, process change points in different types of control charts wereestimated with either fixed or variable sampling strategy. Several simulation runs are conducted to evaluate the performance of the proposed approach for some types of control charts.
کلیدواژه ها:
نویسندگان
Mohammad Sadegh Kazemi
Shahid Bahonar University
Kosar Kazemi
Shahid Bahonar University