Abstract
Dual Response Surface Methodology is a powerful tool for simultaneously optimizing the mean and the variance of a quality characteristic in the field of quality engineering. The optimization of dual response systems to achieve better quality has played a major role in the design of industrial products and processes. In this paper we suggest using a process capability index - Cpk - as the objective function. We show by ways of multiple examples that this method improves the obtained yield of a process for different response variable types.
| Original language | American English |
|---|---|
| Pages (from-to) | 7006-7020 |
| Number of pages | 15 |
| Journal | Communications in Statistics - Theory and Methods |
| Volume | 51 |
| Issue number | 20 |
| DOIs | |
| State | Published - 1 Jan 2022 |
Keywords
- Yield maximization
- process capability index
- process improvement
- robust design
All Science Journal Classification (ASJC) codes
- Statistics and Probability
Fingerprint
Dive into the research topics of 'Dual response surface optimization using a process “capability” index'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver