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

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

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Article ID: iaor2006277
Country: United States
Volume: 36
Issue: 1
Start Page Number: 159
End Page Number: 186
Publication Date: Feb 2005
Journal: Decision Sciences
Authors: ,
Keywords: time series & forecasting methods
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 operationalization 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.

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