Special Sessions
Organisation:
- CHINA MARITIME INSTITUTE
Special Session Topic:
AI, Optimization, and Sustainability in Maritime, Logistics, and Port Operation
- Logistics Research Centre
Special Session Topic:
Contemporary Topics in Sustainable Logistics and Supply Chain Management
Introduction:
This session examines emerging operational decisions, strategic frameworks, and optimization models driving sustainable logistics and supply chain systems. The presentations address how modern organizations leverage advanced scheduling and technology to navigate market competition and environmental imperatives. Key themes include, but are not limited to, strategic decision-making within competitive service operations and digital platform management. Crucially, the session connects these modern operational practices to sustainable logistics infrastructure, focusing on electricity and resource management, scheduling optimization, and the circular distribution challenges of energy and battery recycling. By bridging commercial operations with green technology lifecycles, this session offers researchers and practitioners valuable pathways to design resilient, efficient, and sustainable logistics networks capable of driving long-term value.
- PolyU Maritime Data and Sustainable Development Centre
Special Session Topic:
From Shock to Strength: Building Resilient Shipping Networks
Introduction:
Shipping networks form a critical backbone of global trade, yet their growing connectivity also allows local disruptions to spread rapidly across ports, routes, and regions. Understanding how shipping systems absorb shocks, reorganize operations, and restore connectivity is therefore central to maritime resilience research.
This special session focuses on the measurement, modeling, and improvement of resilience in shipping networks under natural, operational, economic, and geopolitical disruptions. It welcomes research on network disruption and recovery, route adaptation, port substitution, service reconfiguration, vessel behavior, and long-term network evolution. Studies using diverse data sources, including maritime data, trade data, and supply chain data, and applying a wide range of methods, such as complex network analysis, simulation, optimization, econometric analysis, and machine learning, are particularly relevant.
The session aims to improve our understanding of how shipping networks respond to disruptions, recover from shocks, and evolve toward more robust and adaptive system configurations.