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Models and algorithms for a yard crane scheduling problem in container ports

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Models and algorithms for a yard crane scheduling problem in container ports

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dc.contributor.author Vallada Regalado, Eva es_ES
dc.contributor.author Belenguer, Jose Manuel es_ES
dc.contributor.author Villa Juliá, Mª Fulgencia es_ES
dc.contributor.author Alvarez-Valdes, Ramon es_ES
dc.date.accessioned 2024-01-09T19:02:02Z
dc.date.available 2024-01-09T19:02:02Z
dc.date.issued 2023-09-01 es_ES
dc.identifier.issn 0377-2217 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201659
dc.description.abstract [EN] This paper addresses the scheduling of a yard crane in an automated container block, considering its rela-tionships with the other terminal subsystems. Containers coming into the block to be stored have release times, indicating the moment at which they arrive from ships or trucks. Containers being retrieved have due times, indicating when they will be required by other subsystems. The problem can be seen as a pickup routing problem and also as a one-machine scheduling problem. As a starting point, integer linear models were developed for both approaches. Then, to obtain good solutions for large instances, several heuristic algorithms, coupled with a local search, were proposed. An extensive computational study, based on a newly generated benchmark, shows the limits of the exact methods and the quality of the solutions obtained by the heuristics. es_ES
dc.description.sponsorship The authors are partially supported by the Spanish Ministry of Science and Innovation under the project "OPTEP-Port Terminal Operations Optimization" (No. RTI2018-094940-B-I00), partially financed with FEDER funds, by the Spanish Ministry of Science and Innovation under the project "OPRES-Realistic Optimization in Problems in Public Healt"(No. PID2021-124975OB-I00), partially financed with FEDER funds and by the Agencia Valenciana de la Innovacio (AVI) under the project "ireves (innovacion en vehiculos de emergencia sanitaria): una herramienta inteligente de decision" (No. INNACC/2021/26) partially financed with FEDER funds (interested readers can visit http://ireves.upv.es). Some of the authors are supported by the Faculty of Business Administration and Man-agement at the Universitat Politecnica de Valencia. Special thanks are due to Gerardo Gabriel Minella from Instituto Tecnologico de Informatica. 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 Heuristics es_ES
dc.subject Container terminal es_ES
dc.subject Yard crane scheduling es_ES
dc.subject Integer models es_ES
dc.subject Local search es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Models and algorithms for a yard crane scheduling problem in container ports es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ejor.2023.01.047 es_ES
dc.relation.projectID 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/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2021-124975OB-I00//OPTIMIZACIÓN REALISTA EN PROBLEMAS DE SALUD PÚBLICA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA VALENCIANA DE LA INNOVACION//INNACC%2F2021%2F26//INNOVACION EN REUBICACION DE VEHICULOS DE EMERGENCIAS SANITARIAS: UNA HERRAMIENTA INTELIGENTE DE DECISION/ es_ES
dc.rights.accessRights Embargado es_ES
dc.date.embargoEndDate 2025-04-30 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.description.bibliographicCitation Vallada Regalado, E.; Belenguer, JM.; Villa Juliá, MF.; Alvarez-Valdes, R. (2023). Models and algorithms for a yard crane scheduling problem in container ports. European Journal of Operational Research. 309(2):910-924. https://doi.org/10.1016/j.ejor.2023.01.047 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ejor.2023.01.047 es_ES
dc.description.upvformatpinicio 910 es_ES
dc.description.upvformatpfin 924 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 309 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\488081 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder AGENCIA VALENCIANA DE LA INNOVACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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