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A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty

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A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty

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dc.contributor.author Grillo-Espinoza, Hanzel es_ES
dc.contributor.author Alemany Díaz, María Del Mar es_ES
dc.contributor.author Ortiz Bas, Ángel es_ES
dc.date.accessioned 2020-04-17T12:49:55Z
dc.date.available 2020-04-17T12:49:55Z
dc.date.issued 2016 es_ES
dc.identifier.issn 0360-8352 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140899
dc.description.abstract [EN] This paper presents a review of mathematical programming models for supporting the order promising process (OPP) under Lack of Homogeneity in Product (LHP) conditions and uncertainty in a modelling approach. LHP appears in productive processes with raw materials, which directly stem from nature and/or production processes with operations that confer heterogeneity to the characteristics of the out-puts obtained, even when the inputs used are homogenous. LHP has a direct impact on the company s service level, mainly when the customer needs to be served with homogeneous units of the same product. LHP leads to inherent sources of uncertainty due to the natural physical characteristics of the supply chain. This research aims to determine the way that LHP, and uncertainties related either to LHP or dif-ferent variables that confer more realistic conditions to OPP, have been modelled in different LHP sectors, or others affected by uncertainty. This result may provide the opportunity to transfer knowledge among them and to identify gaps for further research. Accordingly, and in order to set the basis for future research into the OPP topic, for cases affected by LHP and for uncertainties inherent to LHP conditions, or due to other possible uncertain variables, this research needs to consider both mathematical model types: (i) mathematical programming models of the OPP that consider some LHP characteristic and (ii) mathematical programming models of the OPP that consider any type of uncertainty in the modelling approach. We propose a taxonomy approach to classify and analyse the literature based on the main characteristics of its environment, order promising approach, customer order characteristics, modelling characteristics, and LHP and uncertainty modelling. The main finding of this research was that research into OPP modelling, combined with LHP characteristics and uncertainty, are lacking. We provide some starting points for further research in this field. es_ES
dc.description.sponsorship This research has been partly supported by Spanish Ministry of Economy and Competitiveness Project 'Methods and models for operations planning and order management in supply chains characterised by uncertainty in production due to the lack of product uniformity' (PLANGES-FHP) (Ref. DPI2011-23597), and by the Ministry of Science, Technology and Telecommunications, Government of Costa Rica (MICITT), through the program of innovation and human capital for competitiveness (PINN) (Contract No. PED-019-2015-1). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Computers & Industrial Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Mathematical programming es_ES
dc.subject Uncertainty es_ES
dc.subject Lack of Homogeneity in Product (LHP) es_ES
dc.subject Order Promising process es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cie.2015.11.013 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICITT//PED-019-2015-1/ 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 Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Grillo-Espinoza, H.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2016). A review of mathematical models for supporting the order promising process under Lack of Homogeneity in Product and other sources of uncertainty. Computers & Industrial Engineering. 91:239-261. https://doi.org/10.1016/j.cie.2015.11.013 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.cie.2015.11.013 es_ES
dc.description.upvformatpinicio 239 es_ES
dc.description.upvformatpfin 261 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 91 es_ES
dc.relation.pasarela S\305668 es_ES
dc.contributor.funder Ministerio de Ciencia Tecnología y Telecomunicaciones de Costa Rica es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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