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 encapsulation of the goods in smart modular containers. Within this framework, network adaptation with distributed routing problems take the lead over classical network design with flow assignment problems. Thanks to recent progresses made in the Digital Internet domain, decentralized approaches are foreseen to be applied for solving those problems on the large scale mandated by the Physical Internet. 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.
Chapter PDF
References
Ballot, E., Fontane, F.: Rendement et efficience du transport: un nouvel indicateur de performance. Revue Française de Gestion Industrielle 27, 41–55 (2008)
International Energy Agency. Transport, energy and CO2. OECD, Paris (2009)
Leonardi, J., Baumgartner, M.: CO2 efficiency in road freight transportation: Status quo, measures and potential. Transportation Research Part D: Transport and Environment 9, 451–464 (2004)
McKinnon, A.: Sustainable distribution: opportunities to improve vehicle loading. UNEP Industry and Environment (2000)
Montreuil, B.: Towards a Physical Internet: Meeting the Global Logistics Sustainability Grand Challenge. Logistics Research 3 (2011)
Ballot, E., Montreuil, B., Thémans, M.: OPENFRET: contribution à la conceptualisation et à la réalisation d’un hub rail-route de l’Internet Physique. In: Predit (ed.) MEDDAT, Paris (2010)
Ballot, E., Montreuil, B., Fontane, F.: Topology of Logistic Networks and the Potential of a Physical Internet. In: International Conference on Industrial Engineering and Systems Management IESM 2011, Metz (2011)
Bernot, M., Caselles, V., Morel, J.M.: Optimal Transportation Networks: Models and Theory. Springer, Heidelberg (2009)
Pan, S.: Contribution à la définition et à l’évaluation de la mutualisation de chaînes logistiques pour réduire les émissions de CO2 du transport: application au cas de la grande distribution. Doctorat Mines ParisTech., Paris (2010)
Pan, S., Ballot, E., Fontane, F.: The reduction of greenhouse gas emissions from freight transport by pooling supply chains. International Journal of Production Economics (2010) (in press, accepted manuscript)
Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network flows: theory, algorithms and applications. Prentice Hall (1993)
O’Kelly, M.E., Miller, H.J.: The hub network design problem: a review and synthesis. Journal of Transport Geography 2, 31–40 (1990)
Campbell, J.F., Ernst, A.T., Krishnamoorthy, M.: Hub Arc Location Problems: Part I-Introduction and Results. Management Science 51, 1540–1555 (2005)
Daskin, M.S.: Network and discrete location. Wiley & Sons, Inc., NJ (2005)
O’Kelly, M.E., Bryan, D.L.: Hub location with flow economies of scale. Transportation Research Part B 32, 605–616 (1998)
Campbell, J.F., Ernst, A.T., Krishnamoorthy, M.: Hub Arc Location Problems: Part II-Formulations and Optimal Algorithms. Management Science 51, 1556–1571 (2005)
Dressler, F., Akan, O.B.: A survey on bio-inspired networking. Computer Networks 54, 881–900 (2010)
Tero, A., Takagi, S., Saigusa, T., Ito, K., Bebber, D., Fricker, M., Yumiki, K., Kobayashi, R., Nakagaki, T.: Rules for Biologically Inspired Adaptive Network Design. Science 327, 439–442 (2010)
Blum, C., Li, X.: Swarm Intelligence in Optimization. In: Blum, C., Merkle, D. (eds.) Swarm Intelligence. Springer, Heidelberg (2008)
Seidel, T., Hartwig, J., Sanders, R.L., Helbing, D.: An Agent-Based Approach to Self-organized Production. In: Blum, C., Merkle, D. (eds.) Swarm Intelligence. Springer, Heidelberg (2008)
Adamatzky, A., Jones, J.: Road planning with slime mould: If Physarum built motorways it would route M6/M74 through Newcastle. Journal of Bifurcation and Chaos (2009)
White, T., Pagurek, B., Deugo, D.: Collective Intelligence and Priority Routing in Networks. In: Hendtlass, T., Ali, M. (eds.) IEA/AIE 2002. LNCS (LNAI), vol. 2358, pp. 790–800. Springer, Heidelberg (2002)
Trentesaux, D.: Distributed control of production systems. Engineering Applications of Artificial Intelligence 22 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Ballot, E., Gobet, O., Montreuil, B. (2012). Physical Internet Enabled Open Hub Network Design for Distributed Networked Operations. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing Control. Studies in Computational Intelligence, vol 402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27449-7_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-27449-7_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27448-0
Online ISBN: 978-3-642-27449-7
eBook Packages: EngineeringEngineering (R0)