dc.contributor.author | Bautista Valhondo, Joaquín |
dc.contributor.author | Cano Pérez, Alberto |
dc.contributor.author | Alfaro Pozo, Rocío |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses |
dc.date.accessioned | 2017-03-16T12:03:08Z |
dc.date.available | 2018-03-01T01:30:35Z |
dc.date.issued | 2017-03 |
dc.identifier.citation | Bautista, J., Cano, A., Alfaro, R. A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions. "Progress in Artificial Intelligence", Març 2017, vol. 6, núm. 1, p. 27-39. |
dc.identifier.issn | 2192-6352 |
dc.identifier.uri | http://hdl.handle.net/2117/102582 |
dc.description.abstract | In this article, we propose a hybrid procedure based on bounded dynamic programming assisted by linear programming to solve the mixed-model sequencing problem with workload minimization with serial workstations, free interruption of the operations and with production mix restrictions. We performed a computational experiment with 23 instances related to a case study of the Nissan powertrain plant located in Barcelona. The results of our proposal are compared with those obtained by mixed integer linear programming. |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Economia i organització d'empreses |
dc.subject.lcsh | Dynamic programming |
dc.subject.lcsh | Heuristic algorithms |
dc.subject.other | Mixed-model sequencing |
dc.subject.other | Dynamic programming |
dc.subject.other | Mixed integer linear programming |
dc.subject.other | Hybrid metaheuristics |
dc.subject.other | Industrial application |
dc.title | A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions |
dc.type | Article |
dc.subject.lemac | Programació dinàmica |
dc.subject.lemac | Heurística |
dc.subject.lemac | Organització industrial |
dc.contributor.group | Universitat Politècnica de Catalunya. OPE - Organització de la Producció i d'Empresa (aspectes tècnics, jurídics i econòmics en Producció) |
dc.identifier.doi | 10.1007/s13748-016-0101-5 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://link.springer.com/article/10.1007/s13748-016-0101-5 |
dc.rights.access | Open Access |
local.identifier.drac | 19789394 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Bautista, J.; Cano, A.; Alfaro, R. |
local.citation.publicationName | Progress in Artificial Intelligence |
local.citation.volume | 6 |
local.citation.number | 1 |
local.citation.startingPage | 27 |
local.citation.endingPage | 39 |