Research on Distribution Path Optimization of Computer-Aided Logistics Warehousing Management System

This paper proposes a computer-aided optimization model and combines it with the Bellman-Ford algorithm for path planning, aiming to improve logistics distribution efficiency and reduce transportation time and cost. The system designs a logistics warehousing management model containing multiple warehouses and distribution points, and establishes a mathematical model for distribution path optimization. By using the Bellman-Ford algorithm, the system can calculate the shortest path under various constraints, thereby optimizing the distribution route and improving resource utilization efficiency. The Bellman-Ford algorithm can effectively handle graphs with negative weight edges and ensure the shortest path is found through an iterative process, which is suitable for complex logistics network environments. To verify the effectiveness of the system, this paper adopts a simulation test method to simulate distribution scenarios of different scales and demands. The test results show that the optimization system using the Bellman-Ford algorithm can significantly shorten the distribution time and reduce transportation costs. Compared with the traditional path optimization method, the system improves the distribution efficiency by about 12% to 18% in most test scenarios. In addition, the experiment shows that as the scale of the distribution network expands, the system can still maintain good optimization performance.