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A smooth nonparametric approach to process capability

✍ Scribed by Alan M. Polansky

Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
89 KB
Volume
14
Category
Article
ISSN
0748-8017

No coin nor oath required. For personal study only.

✦ Synopsis

The determination of the capability of a stable process using the standard process capability indices requires that the quality characteristic of interest be normally distributed. Departures from normality can result in erroneous conclusions when using these indices. In this paper we propose assessing the capability of a process using a nonparametric estimator. This estimator is based on kernel estimation of the distribution function. Bandwidth selection for this method can be based either on a normal reference distribution or on a nonparametric estimate. An example is presented that applies this proposed method to non-normal process data. The performance of the resulting estimator is then compared with the sample proportion and a normal-based estimate in a simulation study.

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