Concepts of Big Data Analysis of Container Terminals in the Digital Era

研究成果: ジャーナルへの寄稿会議記事査読

抄録

In the last few decades, with the advance of IoT technologies throughout the most different fields have been changing the way some process is handled. However, possessing a great volume of data does not mean the operation will be handled better, in many cases the data lays in the storage and stays untouched. An increasing quantity of freight imposes container terminals to improve their capacities. Therefore, decision-making problems for operation planning, controlling, and evaluation needs to be well defined. Understanding that necessity, managers need to rely on, almost exclusively, the Terminal Operational System (TOS) to identify and solve the bother necks during daily operation. Although the TOS also had some improvements in the past years due to technological advances, it is still not enough to evaluate each operational step for the operation. This paper uses a data mining and data analysis evaluation of the container terminal's daily operation to find out specific operational issues and evaluate the main key performance indicators to keep track of the terminal efficiency.

本文言語英語
論文番号012005
ジャーナルIOP Conference Series: Earth and Environmental Science
972
1
DOI
出版ステータス出版済み - 2月 4 2022
イベント6th International Conference on Marine Technology, SENTA 2021 - Surabaya, インドネシア
継続期間: 11月 27 2021 → …

!!!All Science Journal Classification (ASJC) codes

  • 環境科学(全般)
  • 地球惑星科学(全般)

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