Optimization and Research on Army Vehicle Deployment in Emergency Situations

In the event of disasters, emergencies, or special circumstances, the military needs to deploy vehicle resources to meet the needs of emergency response and rescue work. This problem involves the reasonable allocation and utilization of limited vehicle resources to complete emergency tasks quickly and efficiently while reducing casualties and property losses. However, there are still some difficulties regarding the military vehicle deployment problem, including uneven resource deployment, low deployment efficiency, and insufficient logistics protection. Herein, a mixed-integer linear programming model is constructed to optimize the deployment problem of military vehicles to minimize the total transportation time and cost. Considering the complexity and uncertainty in military operations, this paper introduces a variety of constraints, particularly in terms of vehicle number, geographical limitation, and strategic vehicle. With the designed model, instances of problems of different scales are solved, and comparisons are drawn with the existing deployment methods. The results show that the proposed model can effectively reduce the time and cost required for vehicle deployment, while significantly improving the flexibility and adaptability of the deployment scheme. This study can not only provide a new optimization tool for army vehicle deployment but also be utilized for other similar types of emergency logistics deployment.