Proposal of a multi-agent model for the sustainable truck scheduling and containers grouping problem in a Road-Rail physical internet hub
| Autor: | Abdelghani Bekrar, Damien Trentesaux, Mohamed Reghioui, Tarik Chargui |
|---|---|
| Přispěvatelé: | Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Abdelmalek Essaadi University [Tétouan] (UAE) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
021103 operations research Operations research Computer science Strategy and Management Multi-agent system 0211 other engineering and technologies Scheduling (production processes) Physical Internet 02 engineering and technology Management Science and Operations Research Truck scheduling Industrial and Manufacturing Engineering [SPI.AUTO]Engineering Sciences [physics]/Automatic 020901 industrial engineering & automation Multi agent model Sustainability Global logistics |
| Zdroj: | International Journal of Production Research International Journal of Production Research, Taylor & Francis, 2020, 58 (18), pp.5477-5501. ⟨10.1080/00207543.2019.1660825⟩ |
| ISSN: | 0020-7543 1366-588X |
| DOI: | 10.1080/00207543.2019.1660825⟩ |
| Popis: | International audience; Physical Internet (PI) was introduced as a global standardised and interconnected logistics system based on PI-nodes, PI-movers and PI-containers as a mean toward global logistics sustainability. One important issue regarding PI-nodes concerns the planning and scheduling of operations and the management of PI-containers, both in a deterministic and a perturbed environment. This research considers the Road-Rail PI-hub sustainable truck scheduling and PI-containers grouping problem. In our research we consider the weighted sum of the number of used wagons, the internal distance travelled by PI-containers from PI-docks to wagons as well as the trucks’ tardiness, which translate the search for sustainable logistics. In this paper, an effective and reactive multi-agent system based model (MAS) is developed for the resolution of the trucks scheduling and PI-containers grouping. To ensure the efficiency of the MAS and improve the quality of each of its solutions, three concurrent hybrid meta-heuristics are embedded within three parallel scheduling agents. Then, a mixed integer linear programming model (MILP) is proposed to evaluate the performance of the MAS. Finally, the MAS is also evaluated under internal perturbations. The obtained results show the ability of the MAS to provide alternative sustainable solutions by rescheduling trucks in case of disruptions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|