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dc.contributor.author | Boza, Andres | es_ES |
dc.contributor.author | Alemany Díaz, María del Mar | es_ES |
dc.contributor.author | Cuenca, L. | es_ES |
dc.contributor.author | Ortiz Bas, Ángel | es_ES |
dc.date.accessioned | 2016-06-14T08:20:45Z | |
dc.date.available | 2016-06-14T08:20:45Z | |
dc.date.issued | 2015-04 | |
dc.identifier.issn | 2198-5804 | |
dc.identifier.uri | http://hdl.handle.net/10251/65838 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/s40745-015-0034-z | es_ES |
dc.description.abstract | [EN] Sensing enterprises make use of new technologies to capture real-time information and fed constantly the decision making process. Decision support systems (DSS) are exposed to these real-time events and it is possible to start the decision process from scratch in case any unexpected internal and external events take place. Thus, an event monitoring and management system should interact with the DSS to manage events that might affect their decisions. It should act as a supra-system to identify when decisions made are still valid or need to be reanalysed. The traditional configuration of DSS (where they collect internal and external information of the organization and the decision-maker is involved in the decision-making process) should be extended to treat event management using a monitoring and management system, which monitors internal and external information and facilitate the introduction of no monitored events. This monitor and manager systems become more and more necessary due to the incessant incorporation of new technologies that enables the companies to be more context-sensitive. Furthermore, this new and/or more accurate information, which is obtained for the organization, requires a proper management. | es_ES |
dc.description.sponsorship | This research has been carried out in the framework of the project PAID-06-21Universitat Politècnica de València (Sistema de ayuda a la toma de decisiones ante decisiones no programadas en la planificación jerárquica de la producción) and GV/2014/010 Generalitat Valenciana (Identificación de la información proporcionada por los nuevos sistemas de detección accesibles mediante internet en el ámbito de las “sensing enterprises” para la mejora de la toma de decisiones en la planificación de la producción). | |
dc.language | Inglés | es_ES |
dc.relation.ispartof | Annals of Data Science | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Sensing enterprise | es_ES |
dc.subject | Decision support system | es_ES |
dc.subject | Decision-making | es_ES |
dc.subject | Event management | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | Event Management for Sensing Enterprises with Decision Support Systems | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1007/s40745-015-0034-z | |
dc.relation.projectID | info:eu-repo/grantAgreement/UPV//PAID-06-21/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GV%2F2014%2F010/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses | es_ES |
dc.description.bibliographicCitation | Boza, A.; Alemany Díaz, MDM.; Cuenca, L.; Ortiz Bas, Á. (2015). Event Management for Sensing Enterprises with Decision Support Systems. Annals of Data Science. 2(1):103-109. https://doi.org/10.1007/s40745-015-0034-z | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://link.springer.com/article/10.1007%2Fs40745-015-0034-z | es_ES |
dc.description.upvformatpinicio | 103 | es_ES |
dc.description.upvformatpfin | 109 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 2 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 301899 | es_ES |
dc.contributor.funder | Universitat Politècnica de València | |
dc.contributor.funder | Generalitat Valenciana | |
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