Journal: Logistics
Guest Editors: Dr. Edit Süle, Prof. Dr. Péter Földesi, Dr. Adrián Horvath
The special issue explores how artificial intelligence and emerging digital technologies are transforming logistics and supply chain management. It welcomes theoretical, empirical, and applied research examining the integration of AI-driven solutions into logistics operations, supply chain planning, transportation systems, and decision-making processes. Particular attention is given to smart logistics, predictive analytics, digital twins, automation, resilience, sustainability, and data-driven innovation that enhance efficiency, visibility, and competitiveness across modern supply chains.
Submission deadline: 30. November 2027.
Possible topics include:
- AI generations serving logistics and supply chain management
- Data-based decision support systems in logisitcs
- Expert-based decision support systems in logistics
- Enhancing sustainability with AI tools across the supply chain
- Human-Centricity: Logistics 0 reintroduces the human role in decision-making and operations
- Robustness: A logistics system’s proactive ability to resist and endure disruptions
- Resilience: Through adaptive supply chain design, real-time AI analytics and human–machine synergy, logistics systems gain flexibility to handle disruptions
- Anti-fragility: How to design supply networks and logistics systems in single companies that gain value from stress, volatility or chaos
- Ethics and risk mitigation in the application of smart solutions and artificial intelligence in logistics
- Sustainability: Green logistics practices, optimized routing, energy‑efficient warehouses and reverse‑logistics align with environmental goals
