Fuzzy estimation for process capability indices

  • Authors:

  • A. Parchami;M. Mashinchi

  • Affiliations:

  • Fuzzy Set and Its Application Center of Excellence, Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, P.O. Box 76135, Kerman 133, Iran and International Centre for ...;Fuzzy Set and Its Application Center of Excellence, Faculty of Mathematics and Computer Sciences, Shahid Bahonar University of Kerman, P.O. Box 76135, Kerman 133, Iran and International Centre for ...

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2007

Quantified Score

Hi-index 0.09

Visualization

Abstract

Process capability indices are summary statistics which measure the actual or the potential performance of process characteristics relative to the target and specification limits. In most traditional methods, precise estimation is used to assess the capability of manufacturing processes. In this paper we introduce an algorithm based on Buckley's estimation approach, and use a family of confidence intervals to estimate process capability indices C"p, C"p"k and C"p"m. The estimators of these indices thus obtained are triangular shaped fuzzy numbers. We also present and illustrate method for the comparison of estimated process capability indices. Numerical examples are given to show the performance of the method.