Two new fuzzy process capability indices for asymmetric tolerance interval
Publish place: 1st National Conference on Soft Computing
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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CSCG01_152
تاریخ نمایه سازی: 29 مهر 1396
Abstract:
Process capability indices are used to evaluate the performance of the manufacturing process. When the specification limits and the target value are not precise, we cannot use the traditional methods for assessing the capability of the process. For the processes with asymmetric tolerance intervals, some fuzzy process capability indices have been introduced such as C and C . In some cases, these indices may fail to account the process performance. So, in this paper we proposed two new fuzzy indices when the specification limits and the target value are fuzzy while the data are crisp to overcome the problem with these indices. To demonstrate the effectiveness and performance of the proposed indices, we presented an application example.
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Authors
Zainab Abbasi Ganji
Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Bahram Sadeghpour Gildeh
Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran