This presentation explores the transformation of maintenance management within a multinational division, highlighting the shift from siloed, legacy practices toward harmonized, digitally mature systems across countries. Building on lessons from obsolescence management and first-generation deployments of core CMMS platforms, the session demonstrates the progression to a second generation of standardized, predictive approaches. Drawing from a network of 18 sites — employing a “sister-site” model to overcome both inter- and intra-site silos — the case illustrates how harmonization, sensor-driven insights, and generative AI can unlock new levels of operational efficiency, resilience, and knowledge accessibility. It also addresses practical challenges such as integrating predictive maintenance with legacy systems and improving access to critical maintenance knowledge. You will learn how to:
- Advance from first-generation CMMS deployment to predictive, harmonized maintenance systems across countries.
- Use sensor and process data to detect anomalies and optimize maintenance strategies, transitioning from reactive to predictive interventions.
- Break down organizational silos with a sister-site collaboration model and leverage generative AI to improve knowledge retrieval and sharing, even in contexts of restrictive information.
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