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Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet

Author

Listed:
  • 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)

  • Damien Trentesaux

    (LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 - CNRS - Centre National de la Recherche Scientifique - UPHF - Université Polytechnique Hauts-de-France - INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France - INSA - Institut National des Sciences Appliquées)

  • Duncan Mcfarlane

    (CAM - University of Cambridge [UK])

  • Benoit Montreuil

    (Georgia Institute of Technology [Atlanta])

  • 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)

  • George Huang

    (HKU - The University of Hong Kong)

Abstract

Interoperability is playing an increasing role for today's logistics and supply chain management (LSCM) because of the trends of cooperation or coopetition. Especially, digital interoperability concerning data or information exchange becomes a key enabler for the next evolutions that will massively rely upon digitalization, artificial intelligence, and autonomous systems. The notion of Physical Internet (PI) is one such evolution, an innovative worldwide logistic paradigm aimed at interconnecting and coordinating logistics networks for efficiency and sustainability. This paper investigates how digital interoperability can help interconnect logistics and supply networks as well as the operational solutions for sustainable development, and examines the new challenges and research opportunities for digital interoperability under the PI paradigm. To this end, we study the most relevant technologies for digital interoperability in LSCM, via a bibliometric analysis based on 208 papers published during 2010−2020. The results reveal that the present state-of-the-art solutions of digital interoperability are not fully aligned with PI requirements and show new challenges, research gaps and opportunities that need further discussion. Accordingly, several research avenues are suggested to advance research and applications in this area, and to achieve interconnection in logistics and supply networks for sustainability.

Suggested Citation

  • Shenle Pan & Damien Trentesaux & Duncan Mcfarlane & Benoit Montreuil & Eric Ballot & George Huang, 2021. "Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet," Post-Print hal-03161524, HAL.
    • Handle: RePEc:hal:journl:hal-03161524
    DOI: 10.1016/j.compind.2021.103435
    Note: View the original document on HAL open archive server: https://hal.science/hal-03161524
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    References listed on IDEAS

    as
    1. Tomas Ambra & An Caris & Cathy Macharis, 2019. "Towards freight transport system unification: reviewing and combining the advancements in the physical internet and synchromodal transport research," International Journal of Production Research, Taylor & Francis Journals, vol. 57(6), pages 1606-1623, March.
    2. Shenle Pan & Ray Zhong & Ting Qu, 2019. "Smart product-service systems in interoperable logistics: Design and implementation prospects," Post-Print hal-02316272, HAL.
    3. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
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    Cited by:

    1. Yan, Yimo & Chow, Andy H.F. & Ho, Chin Pang & Kuo, Yong-Hong & Wu, Qihao & Ying, Chengshuo, 2022. "Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    2. Yalcin, Haydar & Daim, Tugrul U., 2022. "Logistics, supply chain management and technology research: An analysis on the axis of technology mining," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    3. Dalenogare, Lucas Santos & Le Dain, Marie-Anne & Benitez, Guilherme B. & Ayala, Néstor F. & Frank, Alejandro G., 2022. "Multichannel digital service delivery and service ecosystems: The role of data integration within Smart Product-Service Systems," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

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