Process / pipelineEngineering methods

Optimization-Assisted Process Capability Analysis

Optimization-assisted process capability analysis combines classical capability indices (Cp, Cpk, Cpm) with mathematical optimization to identify process parameter settings that simultaneously satisfy engineering specifications and maximize process capability. Rather than simply measuring whether a process is capable, it prescribes the control factor levels — mean, variance, tolerances — that push capability above a target threshold. It is widely applied in manufacturing, chemical processing, and quality engineering contexts where multiple process variables must be tuned jointly.

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Sources

  1. Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI: 10.1080/00224065.1986.11978984
  2. Montgomery, D. C. (2019). Introduction to Statistical Quality Control (8th ed.). Wiley. ISBN: 978-1119399308

Related methods

ScholarGateOptimization-assisted process capability analysis (Optimization-Assisted Process Capability Analysis). Retrieved 2026-06-04 from https://scholargate.app/tr/experimental-design/optimization-assisted-process-capability-analysis