An integrated holistic model of a complex process

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dc.contributor.authorKim, Heeyoungko
dc.contributor.authorKim, Sungilko
dc.contributor.authorDeng, Jianxinko
dc.contributor.authorLu, Jye-Chyiko
dc.contributor.authorWang, Kanko
dc.contributor.authorZhang, Chuckko
dc.contributor.authorGrover, Martha A.ko
dc.contributor.authorWang, Benko
dc.date.accessioned2017-05-08T08:45:20Z-
dc.date.available2017-05-08T08:45:20Z-
dc.date.created2017-04-18-
dc.date.created2017-04-18-
dc.date.issued2017-03-
dc.identifier.citationINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.89, no.1-4, pp.1137 - 1147-
dc.identifier.issn0268-3768-
dc.identifier.urihttp://hdl.handle.net/10203/223437-
dc.description.abstractConducting experiments to understand and model a complex process or system is usually costly and time-consuming due to multistages, multivariables, and multidisciplinary issues involved in the complex process. To reduce the complexity, for a single experiment, experimenters often fix some variables and investigate the effects of a smaller subset of variables. If then, it is possible to build individual models for each subset of variables, but this only allows partial understanding of the whole process. In this paper, we propose a method for building a holistic model of a complex process using multiple partial models that are learned from multiple sub-experiments that focus on different variables or the same variables but with different variable ranges. Using the proposed holistic model, it should be possible to provide an initial understanding of the complex process involving all variables. The effectiveness of the proposed method is demonstrated using a real example from a buckypaper process.-
dc.languageEnglish-
dc.publisherSPRINGER LONDON LTD-
dc.subjectINITIAL EXPERIMENTAL-DESIGN-
dc.subjectCARBON NANOTUBE SHEETS-
dc.subjectENGINEERING MODELS-
dc.subjectMETHODOLOGY-
dc.subjectFRAMEWORK-
dc.subjectSTRATEGY-
dc.titleAn integrated holistic model of a complex process-
dc.typeArticle-
dc.identifier.wosid000394500300092-
dc.identifier.scopusid2-s2.0-84978640107-
dc.type.rimsART-
dc.citation.volume89-
dc.citation.issue1-4-
dc.citation.beginningpage1137-
dc.citation.endingpage1147-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY-
dc.identifier.doi10.1007/s00170-016-9088-0-
dc.contributor.localauthorKim, Heeyoung-
dc.contributor.nonIdAuthorKim, Sungil-
dc.contributor.nonIdAuthorDeng, Jianxin-
dc.contributor.nonIdAuthorLu, Jye-Chyi-
dc.contributor.nonIdAuthorWang, Kan-
dc.contributor.nonIdAuthorZhang, Chuck-
dc.contributor.nonIdAuthorGrover, Martha A.-
dc.contributor.nonIdAuthorWang, Ben-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorCombining data-
dc.subject.keywordAuthorInitial modeling-
dc.subject.keywordAuthorModel integration-
dc.subject.keywordAuthorMultiple sub-experiments-
dc.subject.keywordPlusINITIAL EXPERIMENTAL-DESIGN-
dc.subject.keywordPlusCARBON NANOTUBE SHEETS-
dc.subject.keywordPlusENGINEERING MODELS-
dc.subject.keywordPlusMETHODOLOGY-
dc.subject.keywordPlusFRAMEWORK-
dc.subject.keywordPlusSTRATEGY-
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IE-Journal Papers(저널논문)
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