Paper
14 February 2024 Analysis of collaborative operation of port logistics system based on system dynamics
Cuilian Liu, Qiaojun Zhang, Zeyi Zheng
Author Affiliations +
Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130182D (2024) https://doi.org/10.1117/12.3024097
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China
Abstract
The port logistics system is the core of port cargo circulation. In the context of the new development pattern of domestic and international dual circulation, it is worth considering how to study the coordination of various production and operation links at the system level, in order to achieve efficient operation and smooth logistics supply chain. To analyze the synergistic effects and effects of different measures on the port logistics system, the article uses system dynamics methods to construct a port logistics system collaborative model. Taking Shanghai Port as an example, the article simulates and analyzes the collaborative situation of the port logistics system under different measures and resource inputs. The results indicate that comprehensive measures are more effective than single measures for system collaboration; Among the three comprehensive measures of optimizing production organization, strengthening innovation and strategic cooperation, optimizing production organization has the best effect on alleviating port congestion, and innovation and strategic cooperation have significantly improved the comprehensive service level. Port enterprises can adjust the proportion of resource investment and allocate resources reasonably based on time, port congestion level, and available funds.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Cuilian Liu, Qiaojun Zhang, and Zeyi Zheng "Analysis of collaborative operation of port logistics system based on system dynamics", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130182D (14 February 2024); https://doi.org/10.1117/12.3024097
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KEYWORDS
Human resources

Data modeling

Transportation

Systems modeling

Safety

Analytical research

Computer programming

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