Aims & Scope

The escalating demand for operational efficiency and cost optimization in logistics systems has elevated the necessity for intelligent system upgrades to unprecedented levels. Contemporary logistics ecosystems are witnessing accelerated integration of automated machinery and robotics across core operational nodes, including warehousing, sorting, packaging, and transportation. This convergence of human expertise, mechanical automation, and robotic intelligence has given rise to next-generation intelligent logistics systems that prioritize collective system performance over individual component capabilities.

Accurate prediction of systemic performance metrics has emerged as a critical prerequisite for optimal system design and operational control. Conventional analytical methodologies demonstrate inherent limitations in addressing the dynamic complexity of these cyber-physical systems. Digital twin presents a paradigm-shifting solution, enabling bidirectional synchronization between physical logistics infrastructure and virtual counterparts through real-time data integration and simulation modeling.

As an innovative technological framework, digital twin facilitates unprecedented fidelity in virtual system representation, proving particularly valuable throughout the lifecycle of logistics systems, from initial design prototyping and system debugging to continuous operational optimization. Recent years have witnessed rapid growth in Logistics Digital Twin (LDT) research and industrial applications, establishing this domain as a focal point in global technological innovation.

This dedicated session aims to present cutting-edge advancements in LDT theory and practice, featuring interdisciplinary research that bridges academic innovation with industrial implementation. Contributions will explore novel methodologies for digital twin development, implementation challenges, and transformative applications in modern logistics ecosystems.

The session will focus on the following aspects:

• • Methodologies combining logistics systems and digital twin
• • AI for LDT
• • Innovative research in LDT
• • Advanced applications of LDT
• • Performance prediction of logistics systems via LDT

Call for Presentations

Call for Presentations is now open. Researchers and industry professionals are invited to submit presentation proposals.

Please see the Call for Presentations for details.