This presentation introduces a groundbreaking concept in maintenance strategies, promoting the adoption of an Energy-Centered Maintenance approach. It delves into the convergence of Artificial Intelligence (AI) and Internet of Things (IoT) technologies within the pharmaceutical industry to streamline energy efficiency and advance machine health monitoring. Through the utilization of AI algorithms and IoT-connected devices, pharmaceutical companies can realize substantial enhancements in operational efficiency, minimizing energy consumption, and ensuring the sustained health of vital machinery. This integrated approach not only aligns with sustainability objectives but also boosts overall productivity and regulatory compliance in the pharmaceutical manufacturing process. You will learn how to:

• Leverage AI-driven machine health monitoring systems to predict and prevent equipment failures, reduce downtime, and enhance reliability.
• Strategically implement AI and IoT technologies to detect and resolve energy inefficiencies in pharmaceutical manufacturing.
• Realize the cost-efficiency benefits of Energy-Centered Maintenance, aligning operational savings with sustainability goals to reduce expenses while fostering environmentally responsible practices.