Digital Twin Applications for Intralogistics Processes: A Literature Review

Intralogistics manages material and information flows within facilities, and Industry 4.0 has introduced digital twin (DT) technology as a tool for managing complex systems. Despite its transformative potential, DT adoption in intralogistics remains limited. Thus, this paper reviews literature to identify trends and challenges in this domain. Findings reveal increasing interest in DT applications for intralogistics, especially in laboratory environments, while the integration of digital models, optimisation algorithms, and machine learning remains underexplored. The study seeks to enhance theoretical understanding of DT's impact on intralogistics and offer practical insights to help managers implement effective strategies for optimising internal logistics processes.