Role Of Big Data Analytics In Ehnancing Maritime Supply Chain Resilience

Abstract

Globalization of trade has distinct maritime supply chain to make it more efficient, resilient and adaptive. In this scenario, Big Data Analytics (BDA) is one of the essential tools that has stepped into play a crucial role in revolutionizing maritime industries by providing more data driven decisions, optimizing operations and improving end to end supply chain processes. This results in better insights which leads to projects like increased predictive maintenance, route optimization and risk management. Real-time view of supply chain provides unprecedented visibility into the movement of goods and vessels for shipping companies, port authorities, and logistics providers. This ultimately allows for more precise forecasting and inventory management, reducing the probability of disruptions and delays. In predicting and mitigating risks within maritime supply chains, the article also ponders upon the role of advanced analytics techniques, such as machine learning and artificial intelligence. These are able to predict problems like bad weather, or crowded port based on the historical data and patterns available; thereby proactively suggest alternative strategies before the disruptions take place. In wholesome, BDA is emerging as cutting-edge tool in global maritime supply chain to mitigate the evolving challenges by driving efficiency, resilience, and sustainability. The integration of BDA into maritime domain will not only foster the decision-making but will also harness the industry for future challenges. This research emphasizes the significance of leveraging BDA to unleash the full potential of global maritime supply chains in highly complex and interconnected world.