Join this session to discover how OMYA, a global leader in mineral production and specialty materials distribution, transformed its reliability management journey from fragmented, site-specific approaches to a unified, AI-driven predictive maintenance program.

OMYA’s vast mining operations depend on large, critical equipment, where minimizing unplanned downtime and optimizing spare parts inventory are essential for maintaining productivity. Initially, the company faced challenges in implementing predictive maintenance consistently across diverse sites; from small, remote operations to complex, large-scale facilities.

Transitioning to a centralized, digitally embedded approach required overcoming varying levels of automation and data historization while fostering a cultural shift towards standardized digital practices. OMYA developed a flexible framework that balances centralized governance with local autonomy, allowing each site to tailor predictive maintenance practices while adhering to global standards.

In this session, learn how OMYA leveraged AVEVA Predictive Analytics to detect and manage critical issues, setting a new standard for operational efficiency and reliability. Discover the key strategies that enabled this transformation and how OMYA continues to drive success through predictive maintenance excellence.