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dc.contributor.authorOnggo, BS
dc.contributor.authorCorlu, CG
dc.contributor.authorJuan, AA
dc.contributor.authorMonks, T
dc.contributor.authorde la Torre, R
dc.date.accessioned2020-07-09T13:13:16Z
dc.date.issued2020-06-18
dc.description.abstractA symbiotic simulation system (S3) enables interactions between a physical system and its computational model representation. To support operational decisions, an S3 uses real-time data from the physical system, which is gathered via sensors and saved in an enterprise data storage system (EDSS). Both real-time and historical data are then used as inputs to the different components of an S3. This paper proposes a generic system architecture for an S3 and discusses its integration within EDSSs. The paper also reviews the literature on S3 and analyses how these systems can be used for real-time decision-making.en_GB
dc.description.sponsorshipErasmus+en_GB
dc.identifier.citationPublished online 18 June 2020en_GB
dc.identifier.doi10.1080/17517575.2020.1777587
dc.identifier.urihttp://hdl.handle.net/10871/121862
dc.language.isoenen_GB
dc.publisherTaylor & Francisen_GB
dc.rights.embargoreasonUnder embargo until 18 June 2021 in compliance with publisher policyen_GB
dc.rights© 2020 Informa UK Limited, trading as Taylor & Francis Groupen_GB
dc.subjectSymbiotic simulation systemsen_GB
dc.subjectenterprise data storage systemsen_GB
dc.subjectonline simulationen_GB
dc.subjectdigital twinen_GB
dc.subjectreal-time decisionen_GB
dc.subjectbig dataen_GB
dc.titleCombining symbiotic simulation systems with enterprise data storage systems for real-time decision-makingen_GB
dc.typeArticleen_GB
dc.date.available2020-07-09T13:13:16Z
dc.identifier.issn1751-7575
dc.descriptionThis is the author accepted manuscript. The final version is available from Taylor & Francis via the DOI in this recorden_GB
dc.identifier.journalEnterprise Information Systemsen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2020-05-31
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-05-31
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-07-09T13:10:37Z
refterms.versionFCDAM
refterms.dateFOA2021-06-17T23:00:00Z
refterms.panelAen_GB


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