Leveraging on the Digital Twin for improving retail store daily operations management

  • Yasmina Maizi  , 
  • b Ygal Bendavid  , 
  • c Janosch Ortmann 
  • abc IoT Lab., CRI2GS, École des Sciences de la Gestion – Université du Québec à Montréal, Canada
Cite as
Maizi Y., Bendavid Y., Ortmann J. (2019). Leveraging on the Digital Twin for improving retail store daily operations management. Proceedings of the 18th International Conference on Modelling and Applied Simulation (MAS 2019), pp. 92-100. DOI: https://doi.org/10.46354/i3m.2019.mas.013
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Abstract

With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and their evolution is expected to transform the face of several industries and applications and opens the door to a huge number of possibilities. However, DT concept application remains at a cradle stage and it is mainly restricted to the manufacturing sector. In fact, its true potential will be revealed in many other sectors. In this research paper, we aim to propose a DT prototype for instore daily operations management and test its impact on daily operations management performances. More specifically, for this specific research work, we focus the impact analysis of DT in the fitting rooms’ area.

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