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Multi-objective Cross-Docking in Physical Internet Hubs Under Arrival Time Uncertainty

Authors :
Abdelghani Bekrar
Gilles Goncalves
Tarik Chargui
Fatma Essghaier
Hamid Allaoui
Damien Trentesaux
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)
Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A)
Université d'Artois (UA)
Source :
Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 952, Springer International Publishing, pp.460-472, 2021, Studies in Computational Intelligence, ⟨10.1007/978-3-030-69373-2_33⟩, Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future ISBN: 9783030693725, SOHOMA, SOHOMA 2020: Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, SOHOMA 2020: Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Oct 2020, Paris, France. pp.460-472, ⟨10.1007/978-3-030-69373-2_33⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; Cross-docking terminals or hubs are used by many logistics distribution companies and play a critical role in the performance of the global supply chain. Recent studies on Physical Internet cross-docking hubs (PI-hubs) have shown promising results for optimization problems in different structures such as Road-Road, Rail-Road and Road-Rail PI-hubs. This paper addresses the optimization of trucks’ scheduling and PI-containers’ grouping in Rail-Road cross-docking PI-hubs. The study is performed considering uncertainty on trucks’ arrival time. The problem is formulated as a multi-objective chance constrained mixed integer programming model. The objective is to minimize the number of used wagons, PI-containers distance and the total tardiness of inbound trucks according to a Lexicographic Programming order.

Details

Language :
English
ISBN :
978-3-030-69372-5
ISBNs :
9783030693725
Database :
OpenAIRE
Journal :
Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 952, Springer International Publishing, pp.460-472, 2021, Studies in Computational Intelligence, ⟨10.1007/978-3-030-69373-2_33⟩, Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future ISBN: 9783030693725, SOHOMA, SOHOMA 2020: Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, SOHOMA 2020: Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Oct 2020, Paris, France. pp.460-472, ⟨10.1007/978-3-030-69373-2_33⟩
Accession number :
edsair.doi.dedup.....618f3be9b26385cd57a9b696a6d1ea80
Full Text :
https://doi.org/10.1007/978-3-030-69373-2_33⟩