Big Data Approach to Identify the Waste Management of Container Terminal Resources

Abstract

This paper reviews the relevance of analyzing the data in a container terminal to provide useful information on how the terminal uses its resources. The daily operation in a container terminal faces many challenges, the container relocation problem or blocks relocation problem, is a classic example that occurs in day-to-day operation for facilities that use stacking systems. Data analysis is a potent tool to visualize and describe the actual behavior of any operation and finding its flaws. It aims to provide generic metadata related to handling containers in a terminal with the objective of understanding how terminal operation is done as well as its resource usage rates. It also describes an overview of a terminal’s stacking operation in a simulation model of stacking containers.