Journal of Engineering, Project, and Production Management, 2026, 16(4), 2025-299
An A Algorithm-Based Optimization Model for Multi-Vehicle Scheduling in E-Commerce Warehousing
1
Director, Zhejiang Industry Polytechnic College, Shaoxing, 312000,
China,
E-mail: liushizheng2023@163.com (corresponding author).
2
Instructor, Zhejiang Industry Polytechnic College, Shaoxing, 312000,
China
Production Management
Received December 4, 2025; revised March 20, 2026; accepted May 4, 2026
Available online May 29, 2026
Abstract: With the rapid advancement of automation and intelligence in the logistics industry, the requirements for warehouse scheduling in e-commerce logistics are becoming increasingly strict. To meet current social demand for e-commerce logistics warehouse scheduling, a new optimization decision model is proposed based on the A-star (A*) algorithm and a collision-avoidance heuristic. The experimental results show that, compared with the traditional warehouse scheduling model, the research model demonstrates significant advantages in path planning accuracy, vehicle collision avoidance efficiency, and scheduling time. In the multi-vehicle cargo distribution scenario, the proposed model can effectively bypass obstacles and avoid the risk of collisions when multiple vehicles are traveling simultaneously. When the number of vehicles was 1, 2, 3, and 4, the actual travel time of the proposed model was 17.7s, 18.2s, 21.1s, and 22.1s, respectively, with almost no error compared with the simulation test results. When compared with traditional path planning algorithms, the research model reduces path planning time by 12.5% to 18.3% and reduces the vehicle collision rate by more than 30%. This indicates that the proposed model not only effectively avoids vehicle conflicts in complex warehousing environments but also achieves more efficient path optimization and scheduling execution. In summary, the optimization decision for e-commerce logistics warehouse scheduling proposed in the study conforms to the concept of 21st-century e-commerce logistics warehouse scheduling management, improves the efficiency of warehouse scheduling, reduces transportation cost, and provides certain insights and directions for warehouse scheduling.
Keywords: A*, automated logistics, collision, multi-vehicle routing, path planning, scheduling optimization.
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Citation: Liu, S and Ji, X. (2026). An A Algorithm-Based Optimization Model for Multi-Vehicle Scheduling in E-Commerce Warehousing. Journal of Engineering, Project, and Production Management, 16(4), 2025-299.
