Paper Contents
Abstract
The exponential growth of global trade and shipping has necessitated the development of intelligent and efficient port management systems capable of handling increasing volumes of containers, ships, and cargo. Traditional port management systems rely on manual processes, fragmented data, and lack real-time visibility, leading to inefficiencies such as congestion, delays, increased costs, and environmental pollution. The growing complexity of global supply chains and the demand for sustainability further highlight the need for innovative solutions. This project proposes a smart port management system leveraging IoT, AI, and big data analytics to enhance operational efficiency, reduce environmental impact, and improve real-time data accessibility. The system integrates ship, container, and port operations, enabling real-time monitoring, predictive maintenance, automated container tracking, and data-driven decision-making. It facilitates real-time data exchange and predictive analytics to optimize port operations. The results demonstrate the systems potential in transforming conventional port management by enhancing efficiency, sustainability, and resilience. This project provides valuable insights for policymakers, port operators, and industry stakeholders, contributing to the advancement of smart port systems. The successful implementation of such systems can significantly impact the global maritime industry, driving innovation and sustainable development in port operations.
Copyright
Copyright © 2025 Nishanth Augustine. This is an open access article distributed under the Creative Commons Attribution License.
