Publicação: Two stage capacitated facility location problem: Lagrangian based heuristics
dc.contributor.author | Litvinchev, Igor | |
dc.contributor.author | Mata, Miguel | |
dc.contributor.author | Ozuna, Lucero | |
dc.contributor.author | Saucedo, Jania | |
dc.contributor.author | Rangel, Socorro [UNESP] | |
dc.contributor.institution | Nuevo Leon State University - UANL | |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | |
dc.date.accessioned | 2022-04-28T18:59:53Z | |
dc.date.available | 2022-04-28T18:59:53Z | |
dc.date.issued | 2012-12-01 | |
dc.description.abstract | In the two-stage capacitated facility location problem, a single product is produced at some plants in order to satisfy customer demands. The product is transported from these plants to some depots and then to the customers. The capacities of the plants and depots are limited. The aim is to select cost minimizing locations from a set of potential plants and depots. This cost includes fixed cost associated with opening plants and depots, and variable cost associated with both transportation stages. In this work two different mixed integer linear programming formulations are considered for the problem. Several Lagrangian relaxations are analyzed and compared, a Lagrangian heuristic producing feasible solutions is presented. The results of a computational study are reported. © 2013, IGI Global. | en |
dc.description.affiliation | Nuevo Leon State University - UANL | |
dc.description.affiliation | São Paulo State University - UNESP, São José do Rio Preto | |
dc.description.affiliationUnesp | São Paulo State University - UNESP, São José do Rio Preto | |
dc.format.extent | 421-447 | |
dc.identifier | http://dx.doi.org/10.4018/978-1-4666-2086-5.ch014 | |
dc.identifier.citation | Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance, p. 421-447. | |
dc.identifier.doi | 10.4018/978-1-4666-2086-5.ch014 | |
dc.identifier.scopus | 2-s2.0-84900617929 | |
dc.identifier.uri | http://hdl.handle.net/11449/220153 | |
dc.language.iso | eng | |
dc.relation.ispartof | Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance | |
dc.source | Scopus | |
dc.title | Two stage capacitated facility location problem: Lagrangian based heuristics | en |
dc.type | Capítulo de livro | pt |
dspace.entity.type | Publication | |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Preto | pt |