Modeling and Optimizing Aircraft-Cargo Compatibility and Risk Exposure Challenges in 1-M/M-1 Transportation Network

In emergencies, the efficiency of logistics planning and transportation operations is critical for the timely delivery of essential supplies. This study addresses the challenges of aircraft and cargo incompatibility while minimizing the risk associated with routes to optimize air cargo transportation. An innovative optimization framework is proposed to align cargo attributes with aircraft specifications and capabilities while considering route-specific risks. The research highlights the significance of ensuring load (cargo)-compatibility and optimal space utilization within a one-to-many-to-one (1-M/M-1) transportation network. The proposed model is particularly relevant for strategically transporting sensitive cargo, equipment, and supplies during military crises and humanitarian missions. By employing the Branch and Cut (B&C) algorithm, the study evaluates the performance of the Mixed-Integer Linear Programming (MILP) model in solving complex, real-world problems. Illustrative examples demonstrate the model’s application, emphasizing the crucial aspects of emergency transportation and the need for an integrated approach to enhance the safety and efficiency of air logistics operations.