This session explores how pharmaceutical plants can enhance asset reliability by integrating Quality, Supply Chain, and Digitalization into their maintenance strategies. Drawing from real-world experience, the presentation demonstrates how risk-based approaches (FMEA), project governance (PMO), and spare parts optimization can be aligned with MES systems and AI tools to build predictive maintenance programs that are both compliant and efficient. Attendees will gain insights into cross-functional collaboration, data-driven decision-making, and the cultural shift required to move from reactive to proactive maintenance. In this session, you will learn more about:

• Integrating quality, supply chain, and digital tools to establish cross-functional predictive maintenance in pharmaceuticals that seamlessly leverages MES systems and AI.
• Applying methods such as FMEA, risk-based prioritisation, and spare parts optimisation, along with governance structures (e.g. PMO), to make maintenance processes data-driven, compliant, and efficient.
• Understanding why close collaboration across these functional areas is essential for moving from reactive to proactive maintenance management and for meeting regulatory requirements.
• Designing cultural change, training, and change management measures that ensure data-driven decision-making and cross-functional collaboration are sustainably embedded.