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Article: An intelligent factory-wide optimal operation system for continuous production process

TitleAn intelligent factory-wide optimal operation system for continuous production process
Authors
Keywordscontinuous production process
dynamic tuning
enterprise information system
feedback framework
multiple units
operational indices
optimal operation system
performance prediction
production indices
system design
Issue Date2016
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/17517575.asp
Citation
Enterprise Information Systems, 2016, v. 10 n. 3, p. 286-302 How to Cite?
AbstractIn this study, a novel intelligent factory-wide operation system for a continuous production process is designed to optimise the entire production process, which consists of multiple units; furthermore, this system is developed using process operational data to avoid the complexity of mathematical modelling of the continuous production process. The data-driven approach aims to specify the structure of the optimal operation system; in particular, the operational data of the process are used to formulate each part of the system. In this context, the domain knowledge of process engineers is utilised, and a closed-loop dynamic optimisation strategy, which combines feedback, performance prediction, feed-forward, and dynamic tuning schemes into a framework, is employed. The effectiveness of the proposed system has been verified using industrial experimental results. © 2015 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/214175
ISSN
2023 Impact Factor: 4.4
2023 SCImago Journal Rankings: 0.875
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDing, J-
dc.contributor.authorChai, T-
dc.contributor.authorWang, H-
dc.contributor.authorWang, J-
dc.contributor.authorZheng, X-
dc.date.accessioned2015-08-21T10:52:24Z-
dc.date.available2015-08-21T10:52:24Z-
dc.date.issued2016-
dc.identifier.citationEnterprise Information Systems, 2016, v. 10 n. 3, p. 286-302-
dc.identifier.issn1751-7575-
dc.identifier.urihttp://hdl.handle.net/10722/214175-
dc.description.abstractIn this study, a novel intelligent factory-wide operation system for a continuous production process is designed to optimise the entire production process, which consists of multiple units; furthermore, this system is developed using process operational data to avoid the complexity of mathematical modelling of the continuous production process. The data-driven approach aims to specify the structure of the optimal operation system; in particular, the operational data of the process are used to formulate each part of the system. In this context, the domain knowledge of process engineers is utilised, and a closed-loop dynamic optimisation strategy, which combines feedback, performance prediction, feed-forward, and dynamic tuning schemes into a framework, is employed. The effectiveness of the proposed system has been verified using industrial experimental results. © 2015 Taylor & Francis.-
dc.languageeng-
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/17517575.asp-
dc.relation.ispartofEnterprise Information Systems-
dc.rightsPREPRINT This is a preprint of an article whose final and definitive form has been published in the [JOURNAL TITLE] [year of publication] [copyright Taylor & Francis]; [JOURNAL TITLE] is available online at: http://www.informaworld.com/smpp/ with the open URL of your article POSTPRINT This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://wwww.tandfonline.com/[Article DOI]-
dc.subjectcontinuous production process-
dc.subjectdynamic tuning-
dc.subjectenterprise information system-
dc.subjectfeedback framework-
dc.subjectmultiple units-
dc.subjectoperational indices-
dc.subjectoptimal operation system-
dc.subjectperformance prediction-
dc.subjectproduction indices-
dc.subjectsystem design-
dc.titleAn intelligent factory-wide optimal operation system for continuous production process-
dc.typeArticle-
dc.identifier.emailDing, J: jldinghk@hku.hk-
dc.identifier.emailWang, H: wanghf@hku.hk-
dc.identifier.emailWang, J: jwwang@hku.hk-
dc.identifier.authorityWang, J=rp01888-
dc.identifier.doi10.1080/17517575.2015.1065346-
dc.identifier.scopuseid_2-s2.0-84953293615-
dc.identifier.hkuros246999-
dc.identifier.hkuros259069-
dc.identifier.volume10-
dc.identifier.issue3-
dc.identifier.spage286-
dc.identifier.epage302-
dc.identifier.isiWOS:000367809300004-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1751-7575-

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