Measuring production yield for processes with multiple characteristics

W.l. Pearn, Ya Ching Cheng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Numerous capability indices have been proposed to measure the performance of processes with multiple characteristics. The index [image omitted] provides an exact measure on the production yield of multinormal processes in which the characteristics are mutually independent. In this paper, we thoroughly investigate the relationship between process parameters and the sampling distribution of [image omitted]. Our investigation shows that for a fixed [image omitted], the variance of sample estimator of [image omitted] is restricted in an interval. For reliability consideration, the maximal variance is used in the estimation and testing of the production yield to ensure the level of confidence. Also, information about sample sizes required for specified precision of estimation and for convergence is determined. At last, we implement a trivariate process with data collected from a plastics manufacturing industrial to demonstrate the practicability of the proposed method in measuring the production yield.

Original languageEnglish
Pages (from-to)4519-4536
Number of pages18
JournalInternational Journal of Production Research
Volume48
Issue number15
DOIs
StatePublished - 1 Jan 2010

Keywords

  • Capability indices
  • Manufacturing processes
  • Production yield
  • Reliability

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