1. Proceedings
  2. I3M
  3. 2022
  4. EMSS
  5. 10.46354/i3m.2022.emss.024

The Role Of AI In Warehouse Digital Twins

  • a Adnane Drissi Elbouzidi ,
  • b Marie-Jane Bélanger,
  • c Abdessamad Ait el Cadi,
  • d Robert Pellerin,
  • e Samir Lamouri,
  • f Estefania Tobon Valencia
  • a,e  LAMIH, Arts et Métiers ParisTech, 51 Bd de l'Hôpital, Paris, 75013, France
  • c Univ. Polytechnique Hauts-de-France, LAMIH, CNRS, UMR 8201, F-59313 Valenciennes, France / INSA Hautsde-France, F-59313 Valenciennes, France
  • b,d Polytechnique Montreal, 2500 Chemin de Polytechnique, Montréal, H3T 1J4, Canada
  • f Groupe Square cabinet Flow&Co, Square Research Center, 173 Avenue Achille Peretti, Neuilly-sur-Seine, 92200, France
Cite as
Elbouzidi A.D., Bélanger M.J., El Cadi A.A., Pellerin R., Valencia E.T., and Lamouri S. (2022).,The Role Of AI In Warehouse Digital Twins. Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022). , 024 . DOI: https://doi.org/10.46354/i3m.2022.emss.024

Abstract

In the era of Industry 4.0, digital twins are at a pivotal phase. For a concept that is so inconsistently defined in the literature, it has been used for many applications, especially in manufacturing, production, and operations. DT not only allows for supervision and running simulations, but it also supports AI applications since it is mapped to all types of data and Intel on the  physical object. On the other hand, warehouses have been subject to little digitization over the years. Warehouse management is at the very core of both manufacturing and retail operations, ensuring supply chain and production continuity. It is also a  conjunction of uncertain material handling activities. It could easily benefit from the Information visibility and the smart features supplied by digital twins and machine learning. In this perspective, this paper examines the use cases of warehouse digital twins (WDT). This study aims to assess the maturity of AI application within WDT, namely techniques, objectives, and challenges. Consequently, inconsistencies are identified and research gaps are presented, making way for future development and innovation.

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