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Analysis of Variation Transmission in Manufacturing Processes - Part II

Summary: [This abstract is based on the authors' abstract.] Methods for analyzing variation in multistage manufacturing processes are valuable tools. They identify stages that contribute most to variation in the final product, and they establish priorities for variation reduction programs. However, when the data are observed with significant measurement error, substantial biases can mislead the investigator. In addition, techniques for interval estimation and diagnostic model checking are needed for proper application of these methods. Therefore, methods are presented that incorporate measurement error. Also presented are a maximum likelihood estimation and a na� method that is much easier to implement. Methods are provided for developing confidence intervals and for model checking.

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  • Topics: Process Management
  • Keywords: Autoregression,Measurement error,Variation,Process improvement,Moment estimation
  • Author: Agrawal, R.; Lawless, J. F.; MacKay, R. J.
  • Journal: Journal of Quality Technology