Dataset de operativa de última milla – proyecto CAROLUM

Datasets used in project CAROLUM and the related publications. The data corresponds to last mile logistics operations and disruptions.

Detalhes bibliográficos
Autores: Lorenzo Espejo, Antonio, Pegado Bardayo, Ana, Muñuzuri, Jesús
Formato: conjunto de datos
Fecha de publicación:2025
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/178387
Acesso em linha:https://hdl.handle.net/11441/178387
https://doi.org/10.12795/11441/178387
Access Level:acceso abierto
Palavra-chave:Last mile
Logistics
Disruptions
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spelling Dataset de operativa de última milla – proyecto CAROLUMLorenzo Espejo, AntonioPegado Bardayo, AnaMuñuzuri, JesúsLast mileLogisticsDisruptionsDatasets used in project CAROLUM and the related publications. The data corresponds to last mile logistics operations and disruptions.Organización Industrial y Gestión de Empresas IITEP127: Ingeniería de OrganizaciónMinisterio de Ciencia e Innovación (MICIN). EspañaMuñuzuri, Jesús2025info:eu-repo/semantics/datasetDatasetapplication/vnd.ms-excelapplication/vnd.openxmlformats-officedocument.spreadsheetml.sheettext/plainhttps://hdl.handle.net/11441/178387https://doi.org/10.12795/11441/178387reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésPegado-Bardayo, A., Lorenzo-Espejo, A., Muñuzuri, J., & Aparicio-Ruiz, P. (2023). A data-driven decision support system for service completion prediction in last mile logistics. Transportation Research Part A: Policy and Practice, 176, 103817 (https://doi.org/10.1016/j.tra.2023.103817)Lorenzo-Espejo, A., Muñuzuri, J., Pegado-Bardayo, A., & Guadix, J. (2024). A framework for analyzing service disruptions in last-mile and first-mile reverse logistics. Research in Transportation Economics, 108, 101485 (https://doi.org/10.1016/j.retrec.2024.101485)https://hdl.handle.net/11441/178386Lorenzo-Espejo, A., Muñuzuri, J., Gardrat, M., & Toilier, F. (2024). Mapping last mile logistics in Spain. Transportation Research Procedia, 79, 138-145 (https://doi.org/10.1016/j.trpro.2024.03.020)https://hdl.handle.net/11441/178382Lorenzo-Espejo, A., Muñuzuri, J., Onieva, L., & Muñoz-Díaz, M. L. (2025). Exploring the correlation between courier workload, service density and distance with the success of last-mile and first-mile reverse logistics. Central European Journal of Operations Research, 1-15 (https://doi.org/10.1007/s10100-024-00928-x)https://hdl.handle.net/11441/164591PID2021-125125OB-I00info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1783872026-06-17T12:51:07Z
dc.title.none.fl_str_mv Dataset de operativa de última milla – proyecto CAROLUM
title Dataset de operativa de última milla – proyecto CAROLUM
spellingShingle Dataset de operativa de última milla – proyecto CAROLUM
Lorenzo Espejo, Antonio
Last mile
Logistics
Disruptions
title_short Dataset de operativa de última milla – proyecto CAROLUM
title_full Dataset de operativa de última milla – proyecto CAROLUM
title_fullStr Dataset de operativa de última milla – proyecto CAROLUM
title_full_unstemmed Dataset de operativa de última milla – proyecto CAROLUM
title_sort Dataset de operativa de última milla – proyecto CAROLUM
dc.creator.none.fl_str_mv Lorenzo Espejo, Antonio
Pegado Bardayo, Ana
Muñuzuri, Jesús
author Lorenzo Espejo, Antonio
author_facet Lorenzo Espejo, Antonio
Pegado Bardayo, Ana
Muñuzuri, Jesús
author_role author
author2 Pegado Bardayo, Ana
Muñuzuri, Jesús
author2_role author
author
dc.contributor.none.fl_str_mv Organización Industrial y Gestión de Empresas II
TEP127: Ingeniería de Organización
Ministerio de Ciencia e Innovación (MICIN). España
Muñuzuri, Jesús
dc.subject.none.fl_str_mv Last mile
Logistics
Disruptions
topic Last mile
Logistics
Disruptions
description Datasets used in project CAROLUM and the related publications. The data corresponds to last mile logistics operations and disruptions.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
Dataset
format dataset
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/178387
https://doi.org/10.12795/11441/178387
url https://hdl.handle.net/11441/178387
https://doi.org/10.12795/11441/178387
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Pegado-Bardayo, A., Lorenzo-Espejo, A., Muñuzuri, J., & Aparicio-Ruiz, P. (2023). A data-driven decision support system for service completion prediction in last mile logistics. Transportation Research Part A: Policy and Practice, 176, 103817 (https://doi.org/10.1016/j.tra.2023.103817)
Lorenzo-Espejo, A., Muñuzuri, J., Pegado-Bardayo, A., & Guadix, J. (2024). A framework for analyzing service disruptions in last-mile and first-mile reverse logistics. Research in Transportation Economics, 108, 101485 (https://doi.org/10.1016/j.retrec.2024.101485)
https://hdl.handle.net/11441/178386
Lorenzo-Espejo, A., Muñuzuri, J., Gardrat, M., & Toilier, F. (2024). Mapping last mile logistics in Spain. Transportation Research Procedia, 79, 138-145 (https://doi.org/10.1016/j.trpro.2024.03.020)
https://hdl.handle.net/11441/178382
Lorenzo-Espejo, A., Muñuzuri, J., Onieva, L., & Muñoz-Díaz, M. L. (2025). Exploring the correlation between courier workload, service density and distance with the success of last-mile and first-mile reverse logistics. Central European Journal of Operations Research, 1-15 (https://doi.org/10.1007/s10100-024-00928-x)
https://hdl.handle.net/11441/164591
PID2021-125125OB-I00
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/vnd.ms-excel
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
text/plain
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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