When the distribution of a process characteristic is non-normal, C p and C pk calculated using conventional methods often lead to erroneous interpretation of the process's capability. Though various methods have been proposed for computing surrogate process capability indices (PCIs) under non-normal
An application of non-normal process capability indices
โ Scribed by K. S. Chen; W. L. Pearn
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 68 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0748-8017
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โฆ Synopsis
Numerous process capability indices, including C p , C pk , C pm , and C pmk , have been proposed to provide measures of process potential and performance. In this paper, we consider some generalizations of these four basic indices to cover non-normal distributions. The proposed generalizations are compared with the four basic indices. The results show that the proposed generalizations are more accurate than those basic indices and other generalizations in measuring process capability. We also consider an estimation method based on sample percentiles to calculate the proposed generalizations, and give an example to illustrate how we apply the proposed generalizations to actual data collected from the factory.
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