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A new generation of process capability indices
Authors:A. Parchami  M. Mashinchi
Affiliation:Department of Statistics, Faculty of Mathematics and Computer Sciences , Shahid Bahonar Universityof Kerman , Kerman , Iran
Abstract:In quality control, we may confront imprecise concepts. One case is a situation in which upper and lower specification limits (SLs) are imprecise. If we introduce vagueness into SLs, we face quite new, reasonable and interesting processes, and the ordinary capability indices are not appropriate for measuring the capability of these processes. In this paper, similar to the traditional process capability indices (PCIs), we develop a fuzzy analogue by a distance defined on a fuzzy limit space and introduce PCIs, where instead of precise SLs we have two membership functions for upper and lower SLs. These indices are necessary when SLs are fuzzy, and they are helpful for comparing manufacturing process with fuzzy SLs. Some interesting relations among these introduced indices are proved. Numerical examples are given to clarify the method.
Keywords:fuzzy quality  specification limits  process capability index  fuzzy statistics
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