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Optimization models for supply chain production planning under fuzziness

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Optimization models for supply chain production planning under fuzziness

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dc.contributor.author Mula, Josefa es_ES
dc.contributor.author Peidro Payá, David es_ES
dc.contributor.author Poler, R. es_ES
dc.date.accessioned 2016-01-19T07:33:03Z
dc.date.available 2016-01-19T07:33:03Z
dc.date.issued 2014
dc.identifier.issn 1434-9922
dc.identifier.uri http://hdl.handle.net/10251/60011
dc.description.abstract [EN] The aim of this chapter is to propose diverse fuzzy mathematical programming models based on the fuzzy set theory for supply chain production planning in a multi-product, multi-plant environment with fuzziness and capacity constraints. The proposed models consider fuzziness in demand and at the aspiration level of total costs. The main contribution of this chapter to the field of fuzzy sets is a practical application of flexible programming approaches (or fuzzy constraints) in linear programming with diverse aggregation schemes to the model originally proposed by McDonald and Karimi (1997)for supply chain production planning. es_ES
dc.description.sponsorship This work has been funded by the Universitat Politècnica de València projects: ‘Material Requirement Planning Fourth Generation (MRPIV)’ (Ref. PAID-05-12) and ‘Quantitative Models for the Design of Socially Responsible Supply Chains under Uncertainty Conditions. Application of Solution Strategies based on Hybrid Metaheuristics’ (PAID-06-12).
dc.language Inglés es_ES
dc.publisher Springer Verlag es_ES
dc.relation.ispartof Studies in Fuzziness and Soft Computing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Supply chain es_ES
dc.subject Production planning es_ES
dc.subject Optimization es_ES
dc.subject Uncertainty es_ES
dc.subject Fuzziness es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Optimization models for supply chain production planning under fuzziness es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/978-3-642-53939-8_17
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-12-SP20120661/ES/Desarrollos de Modelos en Entornos de Incertidumbre para el Diseño de Cadenas de Suminitro Socialmente Responsables. Aplicación de Estrategias de Solución Basadas en Metaheurísticas Híbridas/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-12-SP20120509/ES/Planificación de Requerimientos de Materiales Cuarta Generación (Mrpiv)/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Mula, J.; Peidro Payá, D.; Poler, R. (2014). Optimization models for supply chain production planning under fuzziness. Studies in Fuzziness and Soft Computing. 313:397-422. https://doi.org/10.1007/978-3-642-53939-8_17 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/978-3-642-53939-8_17 es_ES
dc.description.upvformatpinicio 397 es_ES
dc.description.upvformatpfin 422 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 313 es_ES
dc.relation.senia 256523 es_ES
dc.contributor.funder Universitat Politècnica de València
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