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Design and scenario assessment for collaborative logistics and freight transport systems

Author

Listed:
  • Jesus Gonzalez-Feliu

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Joëlle Morana

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Josep-Maria Salanova Grau

    (Hellenic Institute or Transport - CERTH - Centre for Research and Technology Hellas)

  • Tai-Yu Ma

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

Collaboration between partners is a very popular subject in both logistics and decision support research. However, transport management is often taken into account only as an external cost, without integration in collaborative reasoning. This paper proposes a framework to assess collaborative solutions in the context of logistics and freight transport, as well as to describe the links between freight transport and supply chain managementin terms of collaboration techniques. First the main concepts of collaborative logistics in the distribution and transport fields are presented, highlighting the links between collaboration, freight transport and supply chain management. Then, the method to assess collaborative logistics and freight transport solutions is proposed. This method includes a design scheme, a hierarchic clustering technique and a dominance analysis method to unify the assessment of each individual and prepare collaborative research for a common solution. After that, the method is applied to the assessment of five scenarios derived from a real situation for the urban area of Lyon, France) to illustrate how difficult convergence towards consensus is. The results show that a global optimal solution for the entire set of stakeholders is not easy to identify, and how the proposed method can be helpful for decision makers to achieve a consensus of common objectives.

Suggested Citation

  • Jesus Gonzalez-Feliu & Joëlle Morana & Josep-Maria Salanova Grau & Tai-Yu Ma, 2013. "Design and scenario assessment for collaborative logistics and freight transport systems," Post-Print halshs-00844705, HAL.
  • Handle: RePEc:hal:journl:halshs-00844705
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00844705
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    References listed on IDEAS

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    Cited by:

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    2. Gružauskas Valentas & Vilkas Mantas, 2017. "Managing Capabilities for Supply Chain Resilience Through it Integration," Economics and Business, Sciendo, vol. 31(1), pages 30-43, August.
    3. Joëlle Morana & Jesus Gonzalez-Feliu, 2015. "A sustainable urban logistics dashboard from the perspective of a group of operational managers," Management Research Review, Emerald Group Publishing Limited, vol. 38(10), pages 1068-1085, October.
    4. Jesus Gonzalez-Feliu & Joëlle Morana, 2014. "Assessing urban logistics pooling sustainability via a hierarchic dashboard from a group decision perspective," Working Papers halshs-01053887, HAL.
    5. repec:hal:wpaper:halshs-00986648 is not listed on IDEAS
    6. Alix Vargas & Carmen Fuster & David Corne, 2020. "Towards Sustainable Collaborative Logistics Using Specialist Planning Algorithms and a Gain-Sharing Business Model: A UK Case Study," Sustainability, MDPI, vol. 12(16), pages 1-29, August.
    7. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    8. Jesus Gonzalez-Feliu & Nicolas Malhéné, 2014. "Logistics Pooling for City Supply," Post-Print hal-01139476, HAL.
    9. Cleophas, Catherine & Cottrill, Caitlin & Ehmke, Jan Fabian & Tierney, Kevin, 2019. "Collaborative urban transportation: Recent advances in theory and practice," European Journal of Operational Research, Elsevier, vol. 273(3), pages 801-816.
    10. Josep-Maria Salanova Grau & Jesus Gonzalez-Feliu, 2015. "Comparing fast VRP algorithms for collaborative urban freight transport systems: a solution probleming analysis," Post-Print halshs-01176134, HAL.
    11. Jesus Gonzalez-Feliu & Josep-Maria Salanova Grau, 2015. "VRP algorithms for decision support systems to evaluate collaborative urban freight transport systems," Post-Print halshs-00986648, HAL.

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