Optimization Study of Emergency Logistics Operations Based on Colored Petri Nets

Abstract Emergency logistics transportation plays a crucial role in China's logistics system. We addresses inefficiencies and complexities in the emergency logistics transportation process under air-rail intermodal transport using Colored Petri Nets (CPN) theory. We perform hierarchical modeling based on actual emergency logistics activities and CPN theory. Using CPN IDE simulation software, we set monitors for transitions in the model and conduct simulations to determine the running time and transition occupancy rates for each process stage. By analyzing transition occupancy rates, we identify inefficient stages in the emergency logistics process and propose optimization solutions, constructing an optimized CPN model for emergency logistics transportation. The average time for the original emergency logistics process is 4256.325 minutes, while the optimized process averages 3292.475 minutes, a decrease of 22.65%. The experimental results show a significant reduction in overall process time, demonstrating that CPN theory and the optimization are feasible for improving emergency logistics transportation efficiency.