A Novel Clustering Approach for Estimating the Time of Step Changes in Shewhart Control Charts
سال انتشار: 1387
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 635
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شناسه ملی سند علمی:
JR_IJIEPR-19-4_005
تاریخ نمایه سازی: 7 شهریور 1393
چکیده مقاله:
Although control charts are very common to monitoring process changes, they usually do not indicate the real time of the changes. Identifying the real time of the process changes is known as change-point estimation problem. There are a number of change point models in the literature; however most of the existing approaches are dedicated to normal processes. In this paper we propose a novel approach based on clustering techniques to estimate Shewhart control chart change-point when a sustained shift is occurrs in the process mean. For this purpose we devise a new clustering mechanism, a new similarity measure and a new objective function. The proposed approach is not only capable of detecting process change-points, but also automatically estimates the true values of the out-of-control parameters of the process. We also compare the performance of the proposed approach with existing methods.
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نویسندگان
Mehdi Ghazanfari
Associate Professor, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Adel Alaeddini
Corresponding Author, Adel Alaeddini, Ph.D. student, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Kazem Noghondarian
Assistant Professor, Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran