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