Process capability estimation for non–normal quality characteristics: A comparison of Clements, Burr and Box–Cox Methods
نویسندگان
چکیده
In today’s competitive business environment, it is becoming more crucial than ever to assess precisely process losses due to non-compliance to customer specifications. To assess these losses, industry is widely using process capability indices for performance evaluation of their processes. Determination of the performance capability of a stable process using the standard process capability indices requires that the underlying process data should follow a normal distribution. However, if the data is non-normal, measuring process capability using conventional methods can lead to erroneous results. Different process capability indices such as Clements percentile method and data transformation method have been proposed to deal with the non-normal See http://anziamj.austms.org.au/ojs/index.php/ANZIAMJ/article/view/357 for this article, c © Austral. Mathematical Soc. 2008. Published June 11, 2008. ISSN 1446-8735
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