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dc.contributor.author | Boza, Andres | es_ES |
dc.contributor.author | Alarcón Valero, Faustino | es_ES |
dc.contributor.author | Alemany Díaz, María Del Mar | es_ES |
dc.contributor.author | Cuenca, L. | es_ES |
dc.date.accessioned | 2020-10-24T03:31:00Z | |
dc.date.available | 2020-10-24T03:31:00Z | |
dc.date.issued | 2017 | es_ES |
dc.identifier.issn | 1865-1348 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/153119 | |
dc.description.abstract | [EN] Production planning prepares companies to a future production scenario. The decision process followed to obtain the production plan considers real data and estimated data of this future scenario. However, these plans can be affected by unexpected events that alter the planned scenario and in consequence, the production planning. This is especially critical when the production planning is ongoing. Thus providing information about these events can be critical to reconsider the production planning. We herein propose an event monitoring system to identify events and to classify them into different impact levels. The information obtained from this system helps to build a risk matrix, which determines the significance of the risk from the impact level and the likelihood. A prototype has been built following this proposal. | es_ES |
dc.description.sponsorship | This research has been carried out in the framework of the project GV/2014/010 funded by the Generalitat Valenciana (Identificacion de la informacion proporcionada por los nuevos sistemas de deteccion accesibles mediante internet en el ambito de las "sensing enterprises" para la mejora de la toma de decisiones en la planificacion de la produccion). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer-Verlag | es_ES |
dc.relation.ispartof | Lecture Notes in Business Information Processing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Production planning | es_ES |
dc.subject | Event management | es_ES |
dc.subject | Decision making | es_ES |
dc.subject | Information system | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.title | Event Monitoring System to Classify Unexpected Events for Production Planning | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.1007/978-3-319-62386-3_7 | 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.; Alarcón Valero, F.; Alemany Díaz, MDM.; Cuenca, L. (2017). Event Monitoring System to Classify Unexpected Events for Production Planning. Lecture Notes in Business Information Processing. 291:140-154. https://doi.org/10.1007/978-3-319-62386-3_7 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 18th International Conference on Enterprise Information Systems (ICEIS 2016) | es_ES |
dc.relation.conferencedate | Abril 25-28,2016 | es_ES |
dc.relation.conferenceplace | Rome, Italy | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/978-3-319-62386-3_7 | es_ES |
dc.description.upvformatpinicio | 140 | es_ES |
dc.description.upvformatpfin | 154 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 291 | es_ES |
dc.relation.pasarela | S\384438 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
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