Journal Article

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

Mathias, Tiago Novaes, Shinoda, Takeshi

2022

Overview

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.

• Publisher: IOP Publishing
• Subject: Big Data / Containers / Data analysis / Data mining / Data processing / Decision making / Freight terminals / Transport buildings, stations and terminals