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QICID: 20649
Title: Permutation Methods for Comparing Process Capabilities
Copyright: 2006, ASQ
Author: Polansky, Alan M.
Organization: Northern Illinois University, De Kalb, IL
Subject: Supplier rating,Bootstrap methods,Multiple comparisons,Randomization tests;
Series: Journal of Quality Technology, Vol. 38, No. 3, July 2006, pp. 254-266
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Abstract: [This abstract is based on the author's abstract.]Quality managers rely on statistical comparison of competing manufacturing processes to help in the selection of potential suppliers of products and manufacturing methodologies. Because the quality metrics that influence selection criteria are based on sample process data, the inherent variability in the estimates must be considered. Solutions to this problem are proposed based on permutation testing methodology. The advantage of using this methodology is that the significance levels of the permutation tests are exact regardless of the distribution of the process data. Several examples demonstrate the methodology, and potential performance is investigated empirically.
Number of pages: 13
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