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Hybrid process capability analysis/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Hybrid Process Capability Analysis
Taxonomic method record · process-pipeline / experimental-design
  • 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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Related methods

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Taxonomic bucketControl chartmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-response Process Capability Analysismachine-suggested · Relational suggestion, not evidence.Same method familyProcess Capability Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Process Capability Analysismachine-suggested · Relational suggestion, not evidence.Same method familySix Sigma DMAICmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStatistical Process Controlmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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