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Dual-Response Optimization Using a Patient Rule Induction Method

Title
Dual-Response Optimization Using a Patient Rule Induction Method
Author
이동희
Keywords
data mining; dual-response surface optimization; patient rule induction method; process optimization; response surface methodology
Issue Date
2017-12
Publisher
TAYLOR & FRANCIS INC
Citation
QUALITY ENGINEERING, v. 30, no. 4, page. 610-620
Abstract
A dual-response surface optimization approach assumes that response surface models of the mean and standard deviation of a response are fitted well to experimental data. However, it is often difficult to satisfy this assumption when dealing with a large volume of operational data from a manufacturing line. The proposed method attempts to optimize the mean and standard deviation of the response without building response surface models. Instead, it searches for an optimal setting of input variables directly from operational data by using a patient rule induction method. The proposed approach is illustrated with a step-by-step procedure for an example case.
URI
https://www.tandfonline.com/doi/full/10.1080/08982112.2017.1417599http://repository.hanyang.ac.kr/handle/20.500.11754/116871
ISSN
0898-2112; 1532-4222
DOI
10.1080/08982112.2017.1417599
Appears in Collections:
ETC > 연구정보
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