RHI Magnesita
RHI Magnesita optimizes predictive maintenance with AVEVA CONNECT
RHI Magnesita, a global supplier of refractory materials, operates more than a thousand refractory application machines installed at customer sites around the world, which makes inventory management and maintenance planning particularly complex. Already a satisfied user of AVEVA PI System in other business lines, the group turned to AVEVA CONNECT to modernize maintenance and management of this machine fleet. The platform combines cloud-based predictive analytics with real-time operational data, paving the way for a preventive approach. The benefits are significant: supply bottlenecks are decreasing, unplanned downtime is falling and refractory consumption is now predicted six months ahead with more than 80% accuracy. This transformation is expected to avoid more than 4,200 tons of CO2 emissions per year, aligning industrial performance, customer satisfaction and the group's environmental commitments.
Integrated AVEVA software
AVEVA PI System
RHI Magnesita uses AVEVA PI System to oversee its refractory production operations. This platform centralizes data in real-time, enabling optimization of manufacturing processes and improvement of product quality.
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AVEVA CONNECT
RHI Magnesita relies on AVEVA CONNECT to access its industrial data from the cloud. This solution facilitates collaboration between global sites and enables advanced analytics for operations optimization.
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Testimonials
FAQ
How is AVEVA CONNECT modernizing maintenance for a fleet of more than 1,000 refractory machines?
AVEVA CONNECT enables RHI Magnesita to remotely supervise, in a unified way, more than 1,000 refractory application machines installed at customer sites around the world. The cloud platform centralizes real-time operational data and applies predictive analytics to anticipate refractory consumption and maintenance needs. This approach turns a supply service into a strategic, data-driven partnership with industrial customers.
How can refractory consumption be predicted 6 months ahead with more than 80% accuracy?
Six-month predictions with more than 80% accuracy rely on combining real-time data from AVEVA PI System with cloud-based predictive analytics from AVEVA CONNECT. Machine learning models use wear history and operating conditions to anticipate actual consumption. For RHI Magnesita, this prediction turns reactive inventory management into proactive planning coordinated with customers.
How can a predictive maintenance platform avoid 4,200 tons of CO? per year?
The 4,200 tons of CO? avoided annually at RHI Magnesita come from fewer emergency shipments, optimized refractory manufacturing cycles and fewer unplanned shutdowns. AVEVA predictive maintenance thus aligns industrial performance with environmental commitments. It is a textbook case showing how digital transformation contributes directly to decarbonization goals in heavy industry.
Why did RHI Magnesita choose AVEVA CONNECT to complement PI System?
Already a satisfied user of AVEVA PI System in other divisions, RHI Magnesita naturally extended its platform with AVEVA CONNECT to benefit from cloud and predictive capabilities. This technological continuity simplifies deployment, builds on existing skills and ensures data interoperability. For a global supplier of refractory materials, it is a strategic choice of a lasting, scalable software ecosystem.
What business model does an AVEVA cloud platform bring to a B2B industrial supplier?
AVEVA CONNECT allows RHI Magnesita to move from selling materials to a connected service model based on performance and proactive maintenance. Customers benefit from shared visibility, optimized supply planning and fewer shutdowns. For the supplier, it means greater customer loyalty and strong differentiation in a competitive market. This servitized model is typical of digital transformation in B2B industry.