Physical Internet Enabled Open Hub Network Design for Distributed Networked Operations

Eric Ballot 1 Olivier Gobet 2 Benoit Montreuil 3
1 CGS i3 - Centre de Gestion Scientifique i3
2 EPFL - Ecole Polytechnique Fédérale de Lausanne
3 CIRRELT - Laboratoire CIRRELT Université Laval Quebec
Abstract : Supply networks are still mainly based on organizations essentially centralized, dedicated and thus fragmented, whose sustainability becomes ever more problematic nowadays. The recently introduced Physical Internet tackles this problem by interconnecting all the logistics services through the encapsula- tion of the goods in smart modular containers. Within this framework, network adaptation with distributed routing problems take the lead over classical net- work design with flow assignment problems. Thanks to recent progresses made in the Digital Internet domain, decentralized approaches are foreseen to be ap- plied for solving those problems on the large scale mandated by the Physical In- ternet. This leads us to propose here an evolutionist approach to solve the Physical Internet open hub network design problem. We model the problem, formally introduce the design approach, analyze empirical results and provide conclusion remarks and opportunities for further research.
Keywords : Physical Internet Open hub network design Holonic manufacturing Holonic supply chain Supply network Efficiency Evolutionist algorithm
Type de document :
Chapitre d'ouvrage
Liste complète des métadonnées
https://hal-mines-paristech.archives-ouvertes.fr/hal-00696956
Contributeur : Eric Ballot <>
Soumis le : lundi 14 mai 2012 - 11:28:23
Dernière modification le : mardi 28 mai 2019 - 14:50:19

Lien texte intégral

istex

Identifiants

Collections

ENSMP_CGS | ENSMP | PARISTECH | PSL | CNRS | INSTITUT-TELECOM

Citation

Eric Ballot, Olivier Gobet, Benoit Montreuil. Physical Internet Enabled Open Hub Network Design for Distributed Networked Operations. Theodor Borangiu ; André Thomas ; Damien Trentesaux. Service Orientation in Holonic and Multi-Agent Manufacturing Control, Springer, pp.279-292, 2012, Studies in Computational Intelligence, 978-3-642-27448-0. ⟨10.1007/978-3-642-27449-7_21⟩. ⟨hal-00696956⟩

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

473

Contact

CCSD