A Digital Twin Simulation Framework for Smart Warehousing

This paper investigates applying digital twin simulation technology in designing and implementing smart warehousing to enhance efficiency and productivity. Digital twin simulation involves the creation of a virtual model of physical objects, processes, or systems and has gained significant popularity in the supply chain and logistics industry. This research examines the advantages of utilizing digital twin simulation in logistics warehousing operations, focusing on identifying optimal parameters for automated storage and retrieval systems (AS/RS), predicting output performance, determining resource requirements, and enhancing decision-making. This research investigates digital twin simulation technology's potential benefits and limitations for the logistics warehousing industry.