Fuzzy rules for fuzzy \overline{X} and R control charts
Publish place: Iranian Journal of Fuzzy Systems، Vol: 11، Issue: 5
Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJFS-11-5_006
تاریخ نمایه سازی: 31 خرداد 1401
Abstract:
Statistical process control (SPC), an internationally recognized technique for improving product quality and productivity, has been widely employed in various industries. SPC relies on the use of control charts to monitor a manufacturing process for identifying causes of process variation and signaling the necessity of corrective action for the process. Fuzzy data exist ubiquitously in the modern manufacturing process, and in this paper, two alternative approaches to fuzzy control charts are developed for monitoring sample averages and range. These approaches are based on "fuzzy mode" and "fuzzy rules" methods, when the measures are expressed by non-symmetric triangular fuzzy numbers. In contrast to the existing fuzzy control charts, the proposed approach does not require the use of the defuzzification and this prevents the loss of information included in samples. A numeric example illustrates the performance of the method and interprets the results.
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Authors
M. Khademi
Department of Statistics, Faculty of Mathematics and Computer Sience, Shahid Bahonar University of Kerman, Kerman, Iran
V. Amirzadeh
Department of Statistics, Faculty of Mathematics and Computer Sience, Shahid Bahonar University of Kerman, Kerman, Iran
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