Hybrid process capability analysis
Hybrid process capability analysis combines two or more capability assessment techniques — for example, classical indices (Cp, Cpk) with fuzzy logic, bootstrap inference, or Bayesian estimation — to overcome the limitations of any single approach. By integrating complementary methods, it delivers more robust capability statements for non-normal, asymmetric, or short-run processes where standard indices alone would mislead quality decisions.
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- Pearn, W. L., Kotz, S., & Johnson, N. L. (1992). Distributional and inferential properties of process capability indices. Journal of Quality Technology, 24(4), 216–231. · DOI 10.1080/00224065.1992.11979403
- Chen, K. S., & Pearn, W. L. (2003). Capability indices for processes with asymmetric tolerances. Journal of the Chinese Institute of Engineers, 26(2), 197–208. · URL
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