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Reducing the carbon footprint in a vehicle routing problem by pooling resources from different companies

Author

Listed:
  • Manuel Sanchez

    (Universidad de Concepción, Chile)

  • Lorena Pradenas

    (Universidad de Concepción, Chile)

  • Jean-Christophe Deschamps

    (Université de Bordeaux 1)

  • Victor Parada

    (Universidad de Santiago de Chile)

Abstract

In this study, we propose that pooling resources would reduce both the carbon footprint and economic costsin the vehicle routing problem with time windows. A mathematical formulation for the vehicle routing problem considering the carbon footprint as a constraint is proposed. The model is approached with the scatter search metaheuristic and analyzed from the perspective of game theory to evaluate the stability of the coalition after pooling. We define a theoretical case for four suppliers on an instance partition from Solomon’s library using several scenarios from individual participation to a full coalition. For each of these scenarios, we realize a sweep of the objective space. The results show that the more resources are shared, the greater the benefit. The best savings and contributions are achieved by operating in complete cooperation. These savings were distributed as fairly as possible to maintain a stable coalition using the Shapley value.

Suggested Citation

  • Manuel Sanchez & Lorena Pradenas & Jean-Christophe Deschamps & Victor Parada, 2016. "Reducing the carbon footprint in a vehicle routing problem by pooling resources from different companies," Netnomics, Springer, vol. 17(1), pages 29-45, July.
    • Handle: RePEc:kap:netnom:v:17:y:2016:i:1:d:10.1007_s11066-015-9099-2
    DOI: 10.1007/s11066-015-9099-2
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    References listed on IDEAS

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    Cited by:

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    4. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    5. Heilig, Leonard & Lalla-Ruiz, Eduardo & Voß, Stefan, 2017. "Multi-objective inter-terminal truck routing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 178-202.
    6. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    7. Margaretha Gansterer & Richard F. Hartl & Sarah Wieser, 2021. "Assignment constraints in shared transportation services," Annals of Operations Research, Springer, vol. 305(1), pages 513-539, October.
    8. Gansterer, Margaretha & Hartl, Richard F. & Savelsbergh, Martin, 2020. "The value of information in auction-based carrier collaborations," International Journal of Production Economics, Elsevier, vol. 221(C).
    9. Gansterer, Margaretha & Hartl, Richard F., 2018. "Collaborative vehicle routing: A survey," European Journal of Operational Research, Elsevier, vol. 268(1), pages 1-12.
    10. Arroyo, Federico, 2024. "Cost Allocation in Vehicle Routing Problems with Time Windows," Junior Management Science (JUMS), Junior Management Science e. V., vol. 9(1), pages 1241-1268.
    11. Margaretha Gansterer & Richard F. Hartl & Philipp E. H. Salzmann, 2018. "Exact solutions for the collaborative pickup and delivery problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(2), pages 357-371, June.
    12. Javier Duran & Lorena Pradenas & Victor Parada, 2019. "Transit network design with pollution minimization," Public Transport, Springer, vol. 11(1), pages 189-210, June.

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