A Bayesian Parameter Estimation Approach to Response Surface Optimization in Quality Engineering
ABSTRACTInrecent years, Bayesian analyses have become increasingly popular for solvingindustrial related problems. This paper illustrates the use of Bayesian methodsin response surface methodology (RSM) in the context of “off-line quality”improvement. Bayesian linear regression uses the prior inform...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2019-10-01
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| Series: | Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/682038 |
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| Summary: | ABSTRACTInrecent years, Bayesian analyses have become increasingly popular for solvingindustrial related problems. This paper illustrates the use of Bayesian methodsin response surface methodology (RSM) in the context of “off-line quality”improvement. Bayesian linear regression uses the prior information in the highuncertainty state of the response function to make more efficient and morerealistic inferences than can be obtained with classical regression. Severaldifferent models of parameter estimation and uncertainty analysis will bepresented for comparative purposes. An example illustrates the findings. |
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| ISSN: | 2147-835X |