Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/70334

TítuloColumn generation based approaches for combined routing and scheduling
Autor(es)Ramos, Bruna
Alves, Cláudio
Valério de Carvalho, José Manuel
Palavras-chaveColumn generation
Elementary shortest path
Integer Programming
Location routing
Multi-trip
Parallelization
Data1-Fev-2018
EditoraElsevier 1
RevistaElectronic Notes in Discrete Mathematics
Resumo(s)The multi-trip location routing problem is usually applied in the logistics and transportation field. The multi-trip location routing problem is an integrated problem that combines two important and difficult optimization problems: the facility location problem and the multi-trip vehicle routing problem. In the facility location problem, one has to determine the set of facilities that can be used to serve the clients. To fulfill the clients needs, we generate a set of routes by solving a multi-trip vehicle routing problem which allows the assignment of more than one single-trip to a vehicle along the planning horizon. To solve the multi-trip location routing problem, we propose a column generation approach that integrates these two problems. In practice, both the facility location problem and the multi-trip vehicle routing problem are solved simultaneously. This approach leads to better solutions than those achieved by solving the two problems separately. Computational results are described at the end of the paper to illustrate the potential of this approach.
TipoArtigo
URIhttps://hdl.handle.net/1822/70334
DOI10.1016/j.endm.2018.01.017
ISSN1571-0653
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S1571065318300179
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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