Abstract
The increasing demand for goods transportation inherent the risks of the terminal congestion, consequently decreasing the operational efficiency. Maritime transportation containerization has forced container terminals to carefully evaluate how to manage their yard operations. Nowadays, with the Internet of Things (IoT) and the development of data technologies the complexity of data within and around the terminal has been increased, and a lack of data-driven approaches in this matter can still be identified. Using data mining techniques, some effects that are producing inefficiency might be discovered and fixed. This paper presents a data-mining approach to extract useful information from the terminal daily operations report. Additionally, it is shown the container's length of stay of a Straddle Carrier system container terminal.
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