- -

A branch and bound approach for large pre-marshalling problems

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

A branch and bound approach for large pre-marshalling problems

Show full item record

Tanaka, S.; Tierney, K.; Parreño-Torres, C.; Alvarez-Valdes, R.; Ruiz García, R. (2019). A branch and bound approach for large pre-marshalling problems. European Journal of Operational Research. 278(1):211-225. https://doi.org/10.1016/j.ejor.2019.04.005

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/156318

Files in this item

Item Metadata

Title: A branch and bound approach for large pre-marshalling problems
Author: Tanaka, Shunji Tierney, Kevin Parreño-Torres, Consuelo Alvarez-Valdes, Ramón Ruiz García, Rubén
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[EN] The container pre-marshalling problem involves the sorting of containers in stacks so that there are no blocking containers and retrieval is carried out without additional movements. This sorting process should be ...[+]
Subjects: Logistics , Container pre-marshalling , Maritime applications , Terminal operations
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
European Journal of Operational Research. (issn: 0377-2217 )
DOI: 10.1016/j.ejor.2019.04.005
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.ejor.2019.04.005
Project ID:
info:eu-repo/grantAgreement/MINECO//DPI2014-53665-P/ES/OPTIMIZACION DE PROCESOS EN TERMINALES MARITIMAS DE CONTENEDORES/
MICINN/A-2015-12849
MINISTERIO DE ECONOMIA Y EMPRESA/DPI2015-65895-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094940-B-I00/ES/OPTIMIZACION DE OPERACIONES EN TERMINALES PORTUARIAS/
Thanks:
The authors thank the Paderborn Center for Parallel Computation (PC2) for the use of the Arminius cluster for the computational study in this work. This work has been partially supported by the Spanish Ministry of Science, ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record