Digital Twins in Warehouse Operations: A Game Changer?

Abstract

The advent of digital twins, virtual representations of physical processes and systems, has created transformative possibilities for the supply chain and warehouse management sectors. By leveraging cutting-edge technologies like IoT, artificial intelligence (AI), and machine learning (ML), digital twins enhance decision-making, optimize operational efficiency, and reduce costs. This paper explores the role of digital twins in revolutionizing warehouse operations, analyzing their integration with contemporary warehouse systems, key methodologies for implementation, and the resulting impacts. Case studies demonstrate the tangible benefits of digital twins, such as improved inventory accuracy, real-time monitoring, and predictive maintenance. However, challenges like high implementation costs, data security issues, and technological complexity persist. This study concludes with a discussion on the scope and limitations of digital twins in the warehousing domain, providing a roadmap for future research and applications.