Application of Artificial Intelligence in the Logistics Industry and Supply Chain
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 59
Special Issue Editor
Interests: supply chain management and its applications; sustainability in operations and supply chain; logistics network design and improvement; enterprise risk and sustainability management; TQM applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The logistics and supply chain industry is increasingly reliant on digital technologies and interconnected systems. These advancements enable smarter decision making, operational optimization, and unprecedented efficiency. However, this digital transformation has also brought about rising cyber risks, necessitating robust cybersecurity measures to prevent disruptions and mitigate financial and reputational damage. The rapid advancement of artificial intelligence (AI) is revolutionizing logistics and supply chain management through applications such as predictive analytics, demand forecasting, and real-time operational decision making. AI-driven mechanisms and solutions are transforming traditional systems by enhancing efficiency, resilience, agility, and sustainability. Despite these advancements, several challenges remain in AI integration, including ensuring data quality, developing effective AI models, addressing cybersecurity threats, and overcoming barriers to adoption in complex and dynamic environments.
We are, therefore, inviting contributions that explore the intersection of AI, logistics, and supply chains, addressing both theoretical developments and practical applications, as well as emerging trends. Potential topics include, but are not limited to, the following:
- AI-driven demand forecasting and inventory optimization;
- Cyber–physical infrastructure in the logistics industry;
- Machine learning applications in route optimization and last-mile delivery;
- Autonomous vehicles and drones in logistics and supply chain fulfillment;
- AI-enhanced logistics and supply chain risk management and resilience;
- Intelligent warehousing and robotic process automation;
- Ethical and regulatory challenges and solutions for AI adoption in logistics and supply chain management;
- AI-powered sustainability in supply chain management;
- Real-world case studies and industry implementations.
We welcome original research articles, case studies, and comprehensive review papers that contribute to advancing knowledge in this rapidly evolving field. By fostering discussions on AI applications in logistics and supply chain management, this Special Issue aims to highlight innovations and provide insights that can shape the future of the industry.
Dr. Taeho Park
Guest Editor
Manuscript Submission Information
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Keywords
- AI logistics
- supply chain
- machine learning
- cybersecurity risks
- digital transformation
- resilience
- sustainability
- risk management
- ethics regulation
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