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Performance evaluation of interconnected logistics networks confronted to hub disruptions

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  • Yanyan Yang

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Shenle Pan

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Eric Ballot

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper investigates performance of interconnected logistics networks confronted to disruptions at hub level. With traditional supply chain network design, companies define and optimize their own logistics networks, resulting in current logistics systems being a set of independent heterogeneous logistics networks. The concept of PI aims to integrate independent logistics networks into a global, open, interconnected system. Prior research has shown that the new organization can reduce the actual transportation cost through the optimization of full truckload and integration of different transportation means. Continuing along these lines, this paper examines how the interconnected logistics networks applying PI deal with disruption problems at hubs. To attain this, a multi-agent based simulation model with dynamic transportation protocols is proposed. Random disruptions at hubs are considered. Case studies of FMCG cases in France have been taken out. Results suggest that though exposed with disruption risks the PI is a robust logistic system. This paper indicates a novel approach to build a resilient supply network.

Suggested Citation

  • Yanyan Yang & Shenle Pan & Eric Ballot, 2016. "Performance evaluation of interconnected logistics networks confronted to hub disruptions," Post-Print hal-01320641, HAL.
  • Handle: RePEc:hal:journl:hal-01320641
    Note: View the original document on HAL open archive server: https://hal.science/hal-01320641
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    References listed on IDEAS

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    1. Tingting Cui & Yanfeng Ouyang & Zuo-Jun Max Shen, 2010. "Reliable Facility Location Design Under the Risk of Disruptions," Operations Research, INFORMS, vol. 58(4-part-1), pages 998-1011, August.
    2. Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
    3. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    4. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    5. Yossi Sheffi, 2005. "The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262693496, December.
    6. Lawrence V. Snyder & Mark S. Daskin, 2005. "Reliability Models for Facility Location: The Expected Failure Cost Case," Transportation Science, INFORMS, vol. 39(3), pages 400-416, August.
    7. Harry Groenevelt & Liliane Pintelon & Abraham Seidmann, 1992. "Production Lot Sizing with Machine Breakdowns," Management Science, INFORMS, vol. 38(1), pages 104-123, January.
    8. Rochdi Sarraj & Eric Ballot & Shenle Pan & Driss Hakimi & Benoit Montreuil, 2014. "Interconnected logistic networks and protocols: simulation-based efficiency assessment," Post-Print hal-01112138, HAL.
    9. Klibi, Walid & Martel, Alain, 2012. "Scenario-based Supply Chain Network risk modeling," European Journal of Operational Research, Elsevier, vol. 223(3), pages 644-658.
    10. Schmitt, Amanda J., 2011. "Strategies for customer service level protection under multi-echelon supply chain disruption risk," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1266-1283, September.
    11. Eric Ballot & Olivier Gobet & Benoit Montreuil, 2012. "Physical Internet Enabled Open Hub Network Design for Distributed Networked Operations," Post-Print hal-00696956, HAL.
    12. Cui, Tingting & Ouyang, Yanfeng & Shen, Zuo-Jun Max J, 2010. "Reliable Facility Location Design under the Risk of Disruptions," University of California Transportation Center, Working Papers qt5sh2c7pw, University of California Transportation Center.
    13. Mehmet Gümüş & Saibal Ray & Haresh Gurnani, 2012. "Supply-Side Story: Risks, Guarantees, Competition, and Information Asymmetry," Management Science, INFORMS, vol. 58(9), pages 1694-1714, September.
    14. Yanyan Yang & Shenle Pan & Eric Ballot, 2015. "A model to take advantage of Physical Internet for vendor inventory management [Un modèle de gestion de stock en avantage de l'Internet Physique pour les vendeurs]," Post-Print hal-01128761, HAL.
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    Keywords

    Disruption; Physical Internet; Simulation; Routing;
    All these keywords.

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