Author(s)

Yutong Liu ¹, Xueqin Zhang ¹, Yuxuan Hu ¹, Yuanxin Tao ¹, Ruiyi Wang ¹, Xinying Zhang ¹

Affiliation(s)

¹ School of Economics and Management, Taizhou University, Taizhou, China

Corresponding Author

Yutong Liu

ABSTRACT

Under the conditions of digital life and production, the continuously expanding consumption scale, high-frequency consumption behaviors, and high timeliness requirements have brought huge delivery pressures to manufacturing enterprises, distribution and retail enterprises, and logistics enterprises. In this context, improving transportation and delivery efficiency is crucial. This paper focuses on the research on the innovation of the operation mode of express delivery collection and delivery business under the digital development of logistics enterprises, and deeply analyzes several key issues that enterprises can control under the "vehicle to person" contact point operation. It systematically expounds the development status, necessity of the innovation of express delivery collection and delivery business, and puts forward the innovation points of the "vehicle to person" contact point operation. Based on these analyses, research is carried out around the division of labor between people and vehicles, the path planning and scheduling of unmanned vehicles, information interaction, and cargo delivery. This not only provides new ideas for promoting the high-quality development of China's logistics industry in express delivery collection and delivery business but also contributes to the acceleration of the construction of a modern logistics system.

KEYWORDS

Unmanned Vehicle Express Delivery, Division of Labor between People and Vehicles, Dynamic Path Planning, Biological Information Binding, Intelligent Cargo Delivery

CITE THIS PAPER

Yutong Liu, Xueqin Zhang, Yuxuan Hu, Yuanxin Tao, Ruiyi Wang, Xinying Zhang, Exploration and Research on the Innovation of "Vehicle to Person" Contact Point Operation in Express Delivery Collection and Delivery Business. Industrial Engineering and Innovation Management (2025) Vol. 8: 136-142. DOI: http://dx.doi.org/10.23977/ieim.2025.080116.

REFERENCES

[1] Mei Panpan. The Application of Big Data Analysis in Logistics Transportation [J]. China Shipping Weekly, 2025, (11): 63-65.
[2] Jin Hao. Discussion on the Optimization Strategy of Logistics Supply Chain Collaboration in Live Streaming E-commerce [J]. Logistics Science and Technology, 2025, 48(04): 120-122+126. DOI:10.13714/j.cnki.1002-3100. 2025.04.030.
[3] Bi Yanchao. Research on the Development of Green Logistics under Low-carbon Economy [J]. China Storage and Transportation, 2023, (12): 181-182. DOI:10.16301/j.cnki.cn12-1204/f.2023.12.127.
[4] He Dengcai. The "New Blueprint" for High-quality Development of Modern Logistics-Interpretation of the "14th Five-Year Plan" for Modern Logistics Development Planning [J]. China Storage and Transportation, 2023, (03): 17-19. DOI:10.16301/j.cnki.cn12-1204/f.2023.03.112.

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