The maritime industry is on the cusp of a technological transformation, where Artificial Intelligence (AI) is set to redefine planned maintenance practices. Traditional maintenance methods, relying on manual input and analysis of repair lists, are increasingly inadequate for modern vessels, leading to inefficiencies and potential errors. By leveraging AI, these processes can be streamlined: repair lists can be automatically analyzed and integrated into Planned Maintenance Systems (PMS) with a single action, significantly reducing manual workload and enhancing accuracy.
Beyond streamlining data integration, AI’s predictive capabilities allow for proactive maintenance planning. By analyzing historical material usage, AI can forecast which materials are likely to require overhauling, ensuring readiness and minimizing downtime. This foresight not only optimizes resource allocation but also enhances vessel reliability and operational efficiency.
Moreover, AI, combined with Large Language Models (LLM), facilitates real-time communication with stakeholders by generating detailed reports on vessel status, including maintenance tasks and material availability. This transparency empowers management to make informed decisions swiftly, ensuring strategic alignment across all operational levels.
Incorporating AI into maritime maintenance is not just an enhancement; it's a revolution. By embedding AI into core maintenance operations and communication strategies, the maritime industry can achieve unprecedented levels of efficiency, safety, and competitiveness. This research outlines a comprehensive framework for deploying AI in maritime planned maintenance, paving the way for a smarter, more resilient future