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A review of discrete-time optimization models for tactical production planning

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A review of discrete-time optimization models for tactical production planning

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dc.contributor.author Díaz-Madroñero Boluda, Francisco Manuel es_ES
dc.contributor.author Mula, Josefa es_ES
dc.contributor.author Peidro Payá, David es_ES
dc.date.accessioned 2015-07-24T10:07:41Z
dc.date.available 2015-07-24T10:07:41Z
dc.date.issued 2014-03
dc.identifier.issn 0020-7543
dc.identifier.uri http://hdl.handle.net/10251/53703
dc.description This is an Accepted Manuscript of an article published in International Journal of Production Research on 27 Mar 2014, available online: http://doi.org/10.1080/00207543.2014.899721 es_ES
dc.description.abstract [EN] This study presents a review of optimization models for tactical production planning. The objective of this research is to identify streams and future research directions in this field based on the different classification criteria proposed. The major findings indicate that: (1) the most popular production-planning area is master production scheduling with a big-bucket time-type period; (2) most of the considered limited resources correspond to productive resources and, to a lesser extent, to inventory capacities; (3) the consideration of backlogs, set-up times, parallel machines, overtime capacities and network-type multisite configuration stand out in terms of extensions; (4) the most widely used modelling approach is linear/integer/mixed integer linear programming solved with exact algorithms, such as branch-and-bound, in commercial MIP solvers; (5) CPLEX, C and its variants and Lindo/Lingo are the most popular development tools among solvers, programming languages and modelling languages, respectively; (6) most works perform numerical experiments with random created instances, while a small number of works were validated by real-world data from industrial firms, of which the most popular are sawmills, wood and furniture, automobile and semiconductors and electronic devices. es_ES
dc.description.sponsorship This study 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 Taylor & Francis: STM, Behavioural Science and Public Health Titles es_ES
dc.relation.ispartof International Journal of Production Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Production planning es_ES
dc.subject Lot sizing es_ES
dc.subject Mathematical programming es_ES
dc.subject Optimization es_ES
dc.subject Tactical planning es_ES
dc.subject Discrete-time models es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A review of discrete-time optimization models for tactical production planning es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00207543.2014.899721
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-12/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-06-12/
dc.rights.accessRights Abierto 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 Díaz-Madroñero Boluda, FM.; Mula, J.; Peidro Payá, D. (2014). A review of discrete-time optimization models for tactical production planning. International Journal of Production Research. 52(17):5171-5205. https://doi.org/10.1080/00207543.2014.899721 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1080/00207543.2014.899721 es_ES
dc.description.upvformatpinicio 5171 es_ES
dc.description.upvformatpfin 5205 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 52 es_ES
dc.description.issue 17 es_ES
dc.relation.senia 269479
dc.identifier.eissn 1366-588X
dc.contributor.funder Universitat Politècnica de València


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