Journal of Engineering, Project, and Production Management, 2026, 16(6), 2025-240
Optimization Technology for Loading and Unloading Operation Organization Planning in Railway Logistics Park
1 Lecturer,
School of Commerce and Logistics, Henan Institute of Economics and
Trade, Zhengzhou, 450000, China
2 Professor, School of Commerce and
Logistics, Henan Institute of Economics and Trade, Zhengzhou, 450000,
China, E-mail: chimeihuiw@outlook.com
(corresponding author).
Project Management
Received October 21, 2025; revised December 30, 2025; accepted June 13, 2026
Available online June 30, 2026
Abstract: Railway logistics parks have a crucial part in the modern logistics system, and their efficient operation is of great significance for reducing logistics costs and increasing efficiency, promoting high-quality regional economic development, and implementing the dual carbon strategy. However, traditional methods for organizing and planning loading and unloading operations often struggle to achieve optimal resource allocation and efficient collaboration in complex, dynamic logistics environments, resulting in inefficient equipment utilization and poor path planning. To optimize the organization and planning of loading and unloading operations in railway logistics parks and improve operational efficiency, research optimizes the configuration of loading and unloading equipment in railway logistics parks based on queuing theory, and constructs an optimization model for loading and unloading operation organization based on a genetic algorithm. By simulating the mechanism of biological evolution, efficient scheduling of equipment, task timing, and path planning can be achieved through rapid optimization. The experimental findings denote that the optimized model improves accuracy to 96.52%, achieves an F1 score of 0.93, and reduces inference time to 1.43 seconds. Compared with traditional loading and unloading organization planning methods, the research method shows significant advantages in loading and unloading efficiency, cost control, and path optimization. The findings indicate that the proposed method for optimizing the organization of loading and unloading operations in railway logistics parks, based on queuing theory and a genetic algorithm, can effectively improve efficiency, reduce costs, and optimize transportation routes. The research method is of great significance for promoting the efficient operation of railway logistics parks and advancing the development of modern logistics systems.
Keywords: Railway logistics park; loading and unloading operations; loading and unloading equipment; queuing theory; genetic algorithm.
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Citation: Wang, C., and Guo, L. (2026). Optimization Technology for Loading and Unloading Operation Organization Planning in Railway Logistics Park. Journal of Engineering, Project, and Production Management, 16(6), 2025-240.
