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From traditional warehouses to Physical Internet hubs: A digital twin-based inbound synchronization framework for PI-order management

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  • Leung, Eric K.H.
  • Lee, Carmen Kar Hang
  • Ouyang, Zhiyuan

Abstract

Physical Internet (PI) is a new concept to ensure global mobility of physical objects. Conventionally, logistics networks are closed and independent. Under the concept of PI, they are transformed into an open logistics network, providing an efficient way to relocate physical goods to a given place in a short period of time. A hyperconnected city logistics system is conceptualized as the final segment of a PI-network. It uses regional and city hubs as the final leg of last-mile delivery. Inventory at PI-hubs has to be managed efficiently so as to maximize the benefits of PI. This paper proposes a digital twin-based inbound synchronization framework to streamline the operations of a PI-hub in a hyperconnected city logistics system. Digital twins and Internet of Things technologies are proposed for data acquisition and virtualization of real conditions of physical objects, followed by machine learning-integrated models to optimize a joint order fulfillment and replenishment operation in the PI-hubs. Adopting the proposed framework can formulate a Total Inbound Synchronization at three levels: order synchronization, process synchronization and information synchronization. Simulation results show a significant reduction of traveling distance in PI-hubs if the interdependent order fulfillment and replenishment operations are considered as a joint operation. In addition, this paper provides practical implications for logistics service providers to manage information flows within a PI-network driven by digital twins.

Suggested Citation

  • Leung, Eric K.H. & Lee, Carmen Kar Hang & Ouyang, Zhiyuan, 2022. "From traditional warehouses to Physical Internet hubs: A digital twin-based inbound synchronization framework for PI-order management," International Journal of Production Economics, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:proeco:v:244:y:2022:i:c:s0925527321003297
    DOI: 10.1016/j.ijpe.2021.108353
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    References listed on IDEAS

    as
    1. Kendrik Yan Hong Lim & Pai Zheng & Chun-Hsien Chen, 2020. "A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1313-1337, August.
    2. Roy, Debjit & Nigam, Shobhit & de Koster, René & Adan, Ivo & Resing, Jacques, 2019. "Robot-storage zone assignment strategies in mobile fulfillment systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 119-142.
    3. Li, Mingxing & Huang, George Q., 2021. "Production-intralogistics synchronization of industry 4.0 flexible assembly lines under graduation intelligent manufacturing system," International Journal of Production Economics, Elsevier, vol. 241(C).
    4. Emde, Simon, 2017. "Scheduling the replenishment of just-in-time supermarkets in assembly plants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 109730, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Kai Ding & Felix T.S. Chan & Xudong Zhang & Guanghui Zhou & Fuqiang Zhang, 2019. "Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6315-6334, October.
    6. 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.
    7. Shenle Pan & Eric Ballot & George Q. Huang & Benoit Montreuil, 2017. "Physical Internet and Interconnected Logistics Services: Research and Applications," Post-Print hal-01482909, HAL.
    8. Simon Emde, 2017. "Scheduling the replenishment of just-in-time supermarkets in assembly plants," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 321-345, January.
    9. Behnam Bahrami & El-Houssaine Aghezzaf & Veronique Limère, 2019. "Enhancing the order picking process through a new storage assignment strategy in forward-reserve area," International Journal of Production Research, Taylor & Francis Journals, vol. 57(21), pages 6593-6614, November.
    10. van den Berg, Jeroen P. & Sharp, Gunter P. & Gademann, A. J. R. M. (Noud) & Pochet, Yves, 1998. "Forward-reserve allocation in a warehouse with unit-load replenishments," European Journal of Operational Research, Elsevier, vol. 111(1), pages 98-113, November.
    11. Yves Sallez & Shenle Pan & Benoit Montreuil & Thierry Berger & Eric Ballot, 2016. "On the activeness of intelligent Physical Internet containers," Post-Print hal-01491403, HAL.
    12. VAN DEN BER, Jeroen P. & SHARPG, Gunter P. & GADEMANN, A.J.R.M. (Noud) & POCHET, Yves, 1998. "Forward-reserve allocation in a warehouse with unit-load replenishments," LIDAM Reprints CORE 1404, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    14. J Gu & M Goetschalckx & L F McGinnis, 2010. "Solving the forward-reserve allocation problem in warehouse order picking systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(6), pages 1013-1021, June.
    15. Kübler, Patrick & Glock, C. H. & Bauernhansl, Thomas, 2020. "A new iterative method for solving the joint dynamic storage location assignment, order batching and picker routing problem in manual picker-to-parts warehouses," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 122325, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    16. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    17. Walter, Rico & Boysen, Nils & Scholl, Armin, 2013. "The discrete forward–reserve problem – Allocating space, selecting products, and area sizing in forward order picking," European Journal of Operational Research, Elsevier, vol. 229(3), pages 585-594.
    18. Jiang, Min & Leung, K.H. & Lyu, Zhongyuan & Huang, George Q., 2020. "Picking-replenishment synchronization for robotic forward-reserve warehouses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    19. Shenle Pan & Eric Ballot & George Q. Huang & Benoit Montreuil, 2017. "Physical Internet and interconnected logistics services: research and applications," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2603-2609, May.
    20. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.
    21. Shenle Pan & Michele Nigrelli & Eric Ballot & Rochdi Sarraj & Yanyan Yang, 2015. "Perspectives of inventory control models in the Physical Internet: A simulation study," Post-Print hal-01112144, HAL.
    22. Yanyan Yang & Shenle Pan & Eric Ballot, 2017. "Mitigating supply chain disruptions through interconnected logistics services in the Physical Internet," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 3970-3983, July.
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