Our solutions are proven, robust, risk-based, scientifically supported, and based on data-driven decision making. Our methodologies decrease total cost of ownership of critical assets, helping them to realise their inherent reliability.
We optimise operations and maintenance approaches for critical assets, fully exploiting the tools of Industry 4.0 and other disruptive technologies. To achieve this, we incorporate augmented reality technology, advanced data analytics and innovative statistical, artificial intelligence and machine learning techniques.
Our methods, techniques, algorithms, and models allow us to analyze the performance of industrial systems and components in terms of safety, quality, availability, and cost. The reliability and functional characteristics of the assets are analysed to select the most effective and profitable maintenance strategy, fulfilling all regulatory, safety, and environmental compliance requirements. SCRI-IS can also aid with the development of Digital Twins and Cyber-Physical Systems.
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