Mostrar el registro sencillo del ítem
dc.contributor.author | Fernandez-Viagas, Victor | es_ES |
dc.contributor.author | Ruiz García, Rubén | es_ES |
dc.contributor.author | Framinan, Jose | es_ES |
dc.date.accessioned | 2020-10-04T03:31:57Z | |
dc.date.available | 2020-10-04T03:31:57Z | |
dc.date.issued | 2017-03-16 | es_ES |
dc.identifier.issn | 0377-2217 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/151044 | |
dc.description.abstract | [EN] The permutation flowshop problem is a classic machine scheduling problem where n jobs must be processed on a set of m machines disposed in series and where each job must visit all machines in the same order. Many production scheduling problems resemble flowshops and hence it has generated much interest and had a big impact in the field, resulting in literally hundreds of heuristic and metaheuristic methods over the last 60 years. However, most methods proposed for makespan minimisation are not properly compared with existing procedures so currently it is not possible to know which are the most efficient methods for the problem regarding the quality of the solutions obtained and the computational effort required. In this paper, we identify and exhaustively compare the best existing heuristics and metaheuristics so the state-of-the-art regarding approximate procedures for this relevant problem is established. (C) 2016 Elsevier B.V. All rights reserved. | es_ES |
dc.description.sponsorship | The authors are sincerely grateful to the anonymous referees, who provide very valuable comments on the earlier version of the paper. This research has been funded by the Spanish Ministry of Science and Innovation, under projects "ADDRESS" (DPI2013-44461-P/DPI) and "SCHEYARD" (DPI2015-65895-R) co-financed by FEDER funds. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | European Journal of Operational Research | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Scheduling | es_ES |
dc.subject | Flowshop | es_ES |
dc.subject | Heuristics | es_ES |
dc.subject | Metaheuristics | es_ES |
dc.subject | Computational evaluation | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.ejor.2016.09.055 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2015-65895-R/ES/OPTIMIZATION OF SCHEDULING PROBLEMS IN CONTAINER YARDS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2013-44461-P/ES/DISEÑO AVANZADO DE SISTEMAS DE PROGRAMACION DE LA PRODUCCION DINAMICOS, ROBUSTOS Y EXTENDIDOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.description.bibliographicCitation | Fernandez-Viagas, V.; Ruiz García, R.; Framinan, J. (2017). A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation. European Journal of Operational Research. 257(3):707-721. https://doi.org/10.1016/j.ejor.2016.09.055 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.ejor.2016.09.055 | es_ES |
dc.description.upvformatpinicio | 707 | es_ES |
dc.description.upvformatpfin | 721 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 257 | es_ES |
dc.description.issue | 3 | es_ES |
dc.relation.pasarela | S\344052 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |