Pallets delivery: two matheuristics for combined loading and routing
| dc.contributor.author | Silva, Elsa | por |
| dc.contributor.author | Ramos, António G. | por |
| dc.contributor.author | Moura, Ana | por |
| dc.date.accessioned | 2024-10-08T12:15:26Z | |
| dc.date.embargo | 10000-01-01 | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The implementation of novel regulatory and technical requirements for the distribution of vehicle axle weights in road freight transport introduces a new set of constraints on vehicle routing. Until now, axle weight distribution in determining the load plan for freight transport units has been overlooked in the vehicle routing process. Compliance with these axle weight constraints has become paramount for road freight transport companies, since noncompliance with the axle weight distribution legislation translates into heavy fines. This work aims to provide a tool capable of generating cargo loading plans and routing sequences for a palletised cargo distribution problem. The problem addressed integrates the capacitated vehicle routing problem with time window and the two-dimensional loading problem with load balance constraints. Two integrative solution approaches are proposed, one giving greater importance to the routing and the other prioritising the loading. In addition, a novel MILP model is proposed for the 2D pallet loading problem with load-balance constraints that take advantage of the standard dimension of the pallets. Extensive computational experiments were performed with a set of well-known literature benchmark instances, extended to incorporate additional features. The computational results show the effectiveness of the proposed approaches. | por |
| dc.description.sponsorship | The authors are grateful to the anonymous reviewers for their helpful comments, which helped to improve the paper. This work is financed by National Funds through the Portuguese funding agency, FCT (Fundação para a Ciência e a Tecnologia, I.P.), within the project CIBELE, with reference 2022.02767.PTDC (https://doi.org/10.54499/2022.02767.PTDC) and within the project TacitRouting reference 2022.08808.PTDC. This work is co-financed by Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021–2026, within project Produtech_R3, with reference 60. | por |
| dc.distribution | international | por |
| dc.identifier.doi | 10.1016/j.eswa.2023.122893 | por |
| dc.identifier.eissn | 1873-6793 | por |
| dc.identifier.issn | 0957-4174 | por |
| dc.identifier.uri | https://hdl.handle.net/1822/93232 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Elsevier B.V. | por |
| dc.relation | 2022.02767.PTDC | por |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S095741742303395X?via%3Dihub | por |
| dc.rights | restrictedAccess | por |
| dc.subject | Pallet loading | por |
| dc.subject | Load balance | por |
| dc.subject | Vehicle routing problem | por |
| dc.subject | Matheuristic | por |
| dc.title | Pallets delivery: two matheuristics for combined loading and routing | por |
| dc.type | article | |
| dspace.entity.type | Publication | en |
| oaire.citationVolume | 243 | por |
| sdum.journal | Expert Systems with Applications | por |
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