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QICID: 30605
Title: Improved Measurement-System Assessment for Processes with 100% Inspection
Copyright: ASQ
Author: Browne, Ryan P.; Mackay, R. Jock; Steiner. Stefan H.
Organization: Business and Industrial Statistics Research Group, Department of Statistics and Actuarial Sciences
University of Waterloo
Subject: Variation; Structural variation; Gage Repeatability and reproducibility studies (GR&R); Leverage; Measurement system; Sample size; Sample estimates;
Series: Journal of Quality Technology, Vol. 41, No. 4, October 2009, pp. 376-388
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Abstract: [This abstract is based on the authors' abstract.]
The assessment of an automated continuous measurement system used for 100% inspection of a high-volume manufacturing process is considered. The proposed plan has two improvements over the standard plan for assessment. First, the value of using the known process characteristics in the analysis is demonstrated. Second, an alternative sampling plan is described where parts with extreme values are deliberately selected from the group of measured parts, and then are remeasured. This plan, called selection leverage, is shown to be more efficient than the standard plan. The planning and implementation of a leveraged assessment study is also discussed.
Number of pages: 13
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