Optimization of seaport companies' D&A systems based on system dynamics and evaluation models

Yiming Shao; Jiayi Guo; Zejun Li; Wenxiao Yan; Zhiyi Zhu

doi:10.1117/12.2652356

21 November 2022 Optimization of seaport companies' D&A systems based on system dynamics and evaluation models

Yiming Shao, Jiayi Guo, Zejun Li, Wenxiao Yan, Zhiyi Zhu

Proceedings Volume 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022); 1234003 (2022) https://doi.org/10.1117/12.2652356
Event: International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 2022, Lanzhou, China

Abstract

Integrated data and analytics (D&A) systems are recognized for their ability to help companies ensure they have the right people, technology, and processes in place to manage, operate, use, and protect data resources. It is critical for port companies to develop the right strategy to refine the architecture of their D&A systems and integrate their data resources.In this study, system dynamics simulation, and principal component analysis are used to help seaport companies improve D&A systems and maintain their competitiveness in the future. First, starting from the three key parts of personnel, technology, and process, a 3zy comprehensive evaluation model is developed to evaluate the maturity of the D&A system. Second, we use Vensim to conduct simulations and build a seaport system dynamics model. Then, analyze the causal relationship between various influencing factors, and explore the influence of various factors on the port. Third, through the principal component analysis method, clustering multiple indicators to determine the overall skill level of the company and the degree of cooperation between people, technology, and processes has an important impact on the D&A system. Finally, a sensitivity analysis is carried out to calculate the degree of influence on the analysis indicators when the uncertain factors change. The conclusions obtained show the scalability of the D&A system maturity model in other ports and industries.

Citation Download Citation

Yiming Shao, Jiayi Guo, Zejun Li, Wenxiao Yan, and Zhiyi Zhu "Optimization of seaport companies' D&A systems based on system dynamics and evaluation models", Proc. SPIE 12340, International Conference on Frontiers of Traffic and Transportation Engineering (FTTE 2022), 1234003 (21 November 2022); https://doi.org/10.1117/12.2652356

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KEYWORDS

Systems modeling

Principal component analysis

Data modeling

Education and training

Optimization (mathematics)

Complex systems

Data integration

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