From quarry to lorry: how AI is solving cement's biggest production challenges
A practical guide to deploying across the production value chain, from the integral foundations and recipe optimisation to pyroprocess control and predictive maintenance.
Cement producers are under pressure from every direction. Volatile fuel markets, tightening emissions regulations, ageing equipment, and the daily complexity of keeping a plant running at peak efficiency. Now, these combine with C-suite demand to 'do something with AI'. The technology is moving at a breathless pace in the mainstream, but deployment in the world of cement remains uneven. For many the path from curiosity to competitive advantage is rarely straightforward.
This whitepaper brings together three tech companies operating across the cement and concrete production value chain to offer a practical, end-to-end guide to getting it right. For any producer to adopt and rollout AI successfully, they need strong foundations for transformation, optimised lab-based process adjustments, advanced pyroprocess control, and predictive maintenance. And all of this underpinned by a clear route to company-wide adoption for long-term value. This whitepaper compares the current state of play with what AI makes possible, illustrated with real deployments and customer experience.
What the white paper covers:
- Three key prerequisites. Clean, connected data; domain expertise in the right places; and a committed on-site champion – the foundations without which no model adds value.
- Predictive maintenance (CemAI). Cement-specific machine learning that spots equipment issues early, prevents costly unplanned shutdowns, and surfaces process inefficiencies that would otherwise go undetected.
- Plant process optimisation (Gigaton). Maximising thermal substitution rate for increased alternative fuel use, reduced costs and emissions, alongside real-time optimisation for smoother kiln control and higher throughput.
- Predictive quality management (alcemy). Improving quality consistency in order to cut production costs increase throughput and progressively reduce CO2 footprint without sacrificing clinker quality.
- Driving adoption. The soft skills, core messaging, leadership structures, and change management approaches that turn a successful pilot into lasting, plant-wide use.
Visit alcemy for more information.
Visit cemai for more information.
Visit gigaton for more information.