Lower confidence bounds as precision measure for truncated processes.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION(2017)

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摘要
Process capability index C-p has been the most popular one used in the manufacturing industry to provide numerical measures on process precision. For normally distributed processes with automatic fully inspections, the inspected processes follow truncated normal distributions. In this article, we provide the formulae of moments used for the Edgeworth approximation on the precision measurement C-p for truncated normally distributed processes. Based on the developed moments, lower confidence bounds with various sample sizes and confidence levels are provided and tabulated. Consequently, practitioners can use lower confidence bounds to determine whether their manufacturing processes are capable of preset precision requirements.
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关键词
Lower confidence bound,Moments of truncated normal,process capability index C-p
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