Applying process knowledge for yield variation reduction: A longitudinal field study

Joy M. Field, Kingshuk K. Sinha

Research output: Contribution to journalReview articlepeer-review

16 Scopus citations

Abstract

The widespread recognition of the detrimental effects of high yield variation in advanced manufacturing technology settings, both in terms of cost and management of production processes, underscores the need to develop effective strategies for reducing yield variation. In this article, we report the findings of a longitudinal field study in an electromechanical motor assembly plant where we examined how the application of process knowledge by production work teams can reduce yield variation. We propose and provide an operationalizion of a strategy to identify the sequence of particular types of actions - actions to control the mean followed by actions to control the variance-that work teams should pursue over time to apply process knowledge for reducing yield variation. The results of our empirical analysis show that yield variation was significantly reduced on three of the four production lines at the manufacturing plant that served as our research site. Differences in strategies for applying process knowledge help explain the different results on each of the production lines.

Original languageEnglish (US)
Pages (from-to)159-186
Number of pages28
JournalDecision Sciences
Volume36
Issue number1
DOIs
StatePublished - Feb 2005

Keywords

  • Longitudinal Field Study
  • Process Knowledge
  • Time Series Analysis
  • Yield Variation Reduction

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