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A multi-objective model for inventory and planned production reassignment to committed orders with homogeneity requirements

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A multi-objective model for inventory and planned production reassignment to committed orders with homogeneity requirements

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dc.contributor.author Esteso, Ana es_ES
dc.contributor.author Alemany Díaz, María Del Mar es_ES
dc.contributor.author Ortiz Bas, Ángel es_ES
dc.contributor.author Peidro Payá, David es_ES
dc.date.accessioned 2019-05-22T20:28:52Z
dc.date.available 2019-05-22T20:28:52Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0360-8352 es_ES
dc.identifier.uri http://hdl.handle.net/10251/120932
dc.description.abstract [EN] Certain industries are characterized by obtaining non-homogeneous units of the same product. However, customers require homogeneity in some attributes between units of the same and different products requesting in their orders. To commit such orders, an estimation of the homogeneous product to be obtained can be used. Unfortunately, estimations of homogenous product quantities can differ considerably from real distributions. This fact could entail the impossibility of accomplishing the delivery of customer orders in the terms previously committed. To solve this, we propose a multi-objective mathematical programming model to reallocate already available homogeneous products in stock and planned production to committed orders. The main contributions of this model are the consideration of the homogeneity requirement between units of different lines of the same order, the allowance of partial deliveries of order lines, and the specification of some relevant attributes of products to accomplish with the customer homogeneity requirement. Different hypotheses are proved through experiments and statistical analyses applied to a ceramic tile company. The epsilon-constraint method is used to obtain an implementable solution for the company. The weighted sum method is used when proving other hypotheses that offer some managerial insights to companies. es_ES
dc.description.sponsorship This work was supported by the Program of Formation of University Professors (FPU) of the Spanish Ministry of Education, Culture and Sport (FPU15/03595), and by the Spanish Ministry of Economy and Competitiveness Project DPI2011-23597. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Computers & Industrial Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Reallocation process es_ES
dc.subject Mathematical programming es_ES
dc.subject Lack of homogeneity in the product es_ES
dc.subject Homogeneity among order lines es_ES
dc.subject Deterministic es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A multi-objective model for inventory and planned production reassignment to committed orders with homogeneity requirements es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cie.2018.07.025 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU15%2F03595/ES/FPU15%2F03595/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2011-23597/ES/METODOS Y MODELOS PARA LA PLANIFICACION DE OPERACIONES Y GESTION DE PEDIDOS EN CADENAS DE SUMINISTRO CARACTERIZADAS POR LA FALTA DE HOMOGENEIDAD EN EL PRODUCTO/ 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 Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á.; Peidro Payá, D. (2018). A multi-objective model for inventory and planned production reassignment to committed orders with homogeneity requirements. Computers & Industrial Engineering. 124:180-194. https://doi.org/10.1016/j.cie.2018.07.025 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.cie.2018.07.025 es_ES
dc.description.upvformatpinicio 180 es_ES
dc.description.upvformatpfin 194 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 124 es_ES
dc.relation.pasarela S\367717 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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