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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 |