Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A pairwise comparison-based interactive procedure for the process capability approach to multiple-response surface optimization

Full metadata record
DC Field Value Language
dc.contributor.authorJeong, In-Jun-
dc.contributor.authorLee, Dong-Hee-
dc.date.accessioned2024-12-20T06:15:42Z-
dc.date.available2024-12-20T06:15:42Z-
dc.date.issued2020-10-
dc.identifier.issn0305-215X-
dc.identifier.issn1029-0273-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/202324-
dc.description.abstractMultiple-response surface optimization (MRSO) aims to find a setting of the input variables that simultaneously optimizes the multiple responses. The process capability approach incorporates a decision maker's (DM's) preference information in the problem-solving process while considering the dispersion effects of the responses systematically through the framework of the process capability index. However, the existing process capability methods are based on an unrealistic assumption that all the preference information of the DM is given in advance. Although a few methods incorporate the DM's preference information while solving the problem, they require too much preference information from the DM. In this article, a new interactive capability method, the pairwise comparison-based interactive process capability approach (PC-IPCA), is proposed to alleviate the DM's burden in the solving process. The proposed method is illustrated through a well-known MRSO problem. The advantages of the proposed method compared with existing process capability methods are discussed.-
dc.format.extent18-
dc.language영어-
dc.language.isoENG-
dc.publisherTAYLOR & FRANCIS LTD-
dc.titleA pairwise comparison-based interactive procedure for the process capability approach to multiple-response surface optimization-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1080/0305215X.2019.1677634-
dc.identifier.scopusid2-s2.0-85074859480-
dc.identifier.wosid000494419300001-
dc.identifier.bibliographicCitationENGINEERING OPTIMIZATION, v.52, no.10, pp 1743 - 1760-
dc.citation.titleENGINEERING OPTIMIZATION-
dc.citation.volume52-
dc.citation.number10-
dc.citation.startPage1743-
dc.citation.endPage1760-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusPREFERENCE ARTICULATION APPROACH-
dc.subject.keywordPlusMULTIRESPONSE OPTIMIZATION-
dc.subject.keywordPlusMETHODOLOGY-
dc.subject.keywordPlusCRITERION-
dc.subject.keywordAuthorQuality engineering-
dc.subject.keywordAuthormultiple-response surface optimization-
dc.subject.keywordAuthorprocess capability index-
dc.subject.keywordAuthorinteractive procedure-
dc.subject.keywordAuthorpairwise comparison-
Files in This Item
There are no files associated with this item.
Appears in
Collections
서울 산업융합학부 > 서울 산업융합학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE