Joint determination of the optimum target mean and variance of a process

M. A. Rahim*, Khaled S. Al-Sultan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Recently, there has been a lot of interest in the economics of quality control. Many researchers have considered the problem of determining the optimal target mean for a process, but almost all of them have assumed that the process variance is fixed and known in advance. The problem of simultaneously determining the optimal target mean and target variance for a process is considered. This might result in a reduction in variability and in the total cost of the production process. A reduction in variability upholds the modern concept of Taguchi's loss function, which states that any deviation from the target value incurs economic loss, even when the quality characteristic lies within the specification limits. Taguchi's loss function is incorporated to extend this study further to jointly determine the optimal target mean and variance.

Original languageEnglish
Pages (from-to)192-199
Number of pages8
JournalJournal of Quality in Maintenance Engineering
Volume6
Issue number3
DOIs
StatePublished - 2000

Keywords

  • Economics
  • Optimization
  • Quality control
  • Taguchi methods

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management
  • Industrial and Manufacturing Engineering

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