Toward Self-Organizing Production Logistics: A Multi-Agent Approach
The research proposes Self-Organizing Production Logistics (SOPL) using a multi-agent approach to handle production challenges like variability and uncertainty. It uses AI and Industry 4.0 technologies to create autonomous resources that can adapt dynamically. The system is designed with three layers—physical, decision-making, and knowledge—to improve responsiveness while maintaining core logistics performance.