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Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

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Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making

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dc.contributor.author Onggo, B.S. es_ES
dc.contributor.author Corlu, Canan G. es_ES
dc.contributor.author Juan, Angel A. es_ES
dc.contributor.author Monks, Thomas es_ES
dc.contributor.author Torre-Martínez, María Rocío de la es_ES
dc.date.accessioned 2023-11-10T19:05:01Z
dc.date.available 2023-11-10T19:05:01Z
dc.date.issued 2021-02-07 es_ES
dc.identifier.issn 1751-7575 es_ES
dc.identifier.uri http://hdl.handle.net/10251/199518
dc.description.abstract [EN] A 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. es_ES
dc.description.sponsorship This work has been partially funded by the Staff Mobility programme from the Erasmus+ (2020-2021). es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof Enterprise Information Systems es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject Symbiotic simulation systems es_ES
dc.subject Enterprise data storage systems es_ES
dc.subject Online simulation es_ES
dc.subject Digital twin es_ES
dc.subject Realtime decision es_ES
dc.subject Big data es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/17517575.2020.1777587 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi es_ES
dc.description.bibliographicCitation Onggo, B.; Corlu, CG.; Juan, AA.; Monks, T.; Torre-Martínez, MRDL. (2021). Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making. Enterprise Information Systems. 15(2):230-247. https://doi.org/10.1080/17517575.2020.1777587 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/17517575.2020.1777587 es_ES
dc.description.upvformatpinicio 230 es_ES
dc.description.upvformatpfin 247 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\500836 es_ES
dc.contributor.funder European Commission es_ES


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