Intelligent Optimization of Shipping of Large Offshore Equipment Based on Big Data Technology

In order to understand the problem of intelligent optimization of offshore large equipment shipment, a research on intelligent optimization of offshore large equipment shipment based on big data technology has been proposed. This paper first focuses on the characteristics of container shipping enterprises around the Bohai Sea, closely integrating system analysis methods with their business management processes, and forming a model system for the business decision-making and strategic decision-making of container feeder shipping enterprises. Secondly, based on big data technology, multi system data is aggregated and refined, and real-time operational status of the enterprise is provided through visual interactive means; Using machine learning as a tool to implement the application of artificial intelligence in predictive analysis of model systems. The system effectively supports the operational management and strategic decision-making implementation of container shipping enterprises, improving the quality and efficiency of management decisions.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3708036.3708257
Citations
1
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
0.35
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article

Intelligent Optimization of Shipping of Large Offshore Equipment Based on Big Data Technology

Y.B. Sun
1 citations
Maritime Ports and Logistics
0.35
article

Intelligent Optimization of Shipping of Large Offshore Equipment Based on Big Data Technology

Y.B. Sun
article en
1 citations

Abstract

In order to understand the problem of intelligent optimization of offshore large equipment shipment, a research on intelligent optimization of offshore large equipment shipment based on big data technology has been proposed. This paper first focuses on the characteristics of container shipping enterprises around the Bohai Sea, closely integrating system analysis methods with their business management processes, and forming a model system for the business decision-making and strategic decision-making of container feeder shipping enterprises. Secondly, based on big data technology, multi system data is aggregated and refined, and real-time operational status of the enterprise is provided through visual interactive means; Using machine learning as a tool to implement the application of artificial intelligence in predictive analysis of model systems. The system effectively supports the operational management and strategic decision-making implementation of container shipping enterprises, improving the quality and efficiency of management decisions.

Yantai Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 31%
Maritime Ports and Logistics
0.35
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