In today’s manufacturing landscape, maintaining operational efficiency is increasingly complex due to intricate equipment and stringent regulations. Traditional preventive maintenance (PM) manuals often hinder efficiency, resulting in increased downtime and compliance risks. Generative AI (GenAI) and large language models (LLMs) are revolutionizing maintenance workflows by transforming static manuals into interactive, real-time assistants. These AI systems can retrieve and summarize relevant information, enabling technicians to access precise step-by-step instructions quickly and efficiently. Benefits of implementing GenAI include significantly reduced search times, higher data consistency, and improved accessibility to expert knowledge, which aids less experienced technicians. However, challenges persist, such as ensuring data quality and integrating AI into existing workflows while maintaining safety standards. Future advancements may see AI-driven documentation evolve into dynamic, multimodal systems that update in real time, enhancing efficiency and accuracy across maintenance operations. Embracing these technological advancements is vital for maintaining competitiveness and operational resilience in manufacturing.
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