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Towards Sustainable Collaborative Logistics Using Specialist Planning Algorithms and a Gain-Sharing Business Model: A UK Case Study

Author

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  • Alix Vargas

    (Connected Places Catapult (CPC), Milton Keynes MK9 1BP, UK)

  • Carmen Fuster

    (Connected Places Catapult (CPC), Milton Keynes MK9 1BP, UK)

  • David Corne

    (School of Mathematical & Computer Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK)

Abstract

This paper introduces the FreightShare Lab Platform (FSLP) and its embedded business model, aiming to facilitate and encourage horizontal collaboration in freight logistics. The idea of the FSLP is to create collaborating clusters of freight operators, and corresponding collaborative operational plans, via specialised decision support algorithms and multi-fleet optimisation. Further, a gain-sharing business model embedded within the FSLP algorithms ensures that participants, mainly logistics service providers and freight operators, can retain their own profit margins and fairly share the efficiency gains from collaboration. A case study is presented, centred on a large UK freight operator, to evaluate the key FSLP algorithms in a realistic context. The results evidence the potential for significant financial and environmental benefits for industry and society.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6627-:d:399776
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    2. Vitor Anes & António Abreu & Ana Dias & João Calado, 2022. "A Reputational-Risk-Based Match Selection Framework for Collaborative Networks in the Logistics Sector," Sustainability, MDPI, vol. 14(7), pages 1-24, April.

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