Leveraging Digital Twin Technology for Enhanced Sustainable Warehouse Management
Adnane Drissi Elbouzidi  1  , Samir Lamouri  2@  , Frédéric Rosin  3  
1 : École Nationale Supérieure des Arts et Métiers
LAMIH, UMR CNRS 8201
2 : Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
Arts et Métiers Paris Tech
3 : Arts et Métiers Paristech ENSAM Aix-en-Provence
LAMIH, UMR CNRS 8201

The growing environmental impact of the transport and warehousing sectors underlines the urgency of finding sustainable solutions. This article explores the potential of digital twins in green warehouse management to meet this challenge. Traditional methodologies are often insufficient to assess all-around sustainability problems through general Top-Down methodologies. This is why they require innovative approaches such as a Bottom-Up digital twins-based tool. By integrating existing frameworks into the virtual model, warehouses can improve sustainability metrics and make informed operational decisions. This article focuses on modeling environmental impacts within the framework of digital twins, presenting a comprehensive review of the literature to define appropriate sustainability indicators to be included. Environmental impact assessment methodologies are discussed, followed by a case study illustrating the effectiveness of digital twins[.

Keywords: environment, sustainable warehousing, digital twin, sustainability, Industry 5.0

 

 


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