How PSImetals OHS optimizes steel production by balancing cost efficiency, productivity, and sustainability through real-time scheduling and green energy integration.

PSImetals Online Heat Scheduler Optimize metals production with AI

Smarter scheduling, lower costs, greener future

Why PSImetals Online Heat Scheduler?

Metals production is complex, especially with the shift towards greener energy. PSImetals Online Heat Scheduler uses AI-driven scheduling to optimize production, reduce energy costs, and support decarbonization efforts.

  • AI-powered heat scheduling for maximum efficiency
  • Energy optimization to cut costs & CO emissions
  • Real-time insights for smarter production planning

How it works

Smart scheduling: AI aligns production demand with energy supply to maximize efficiency

Predictive insights: Prevents production delays and ensures seamless operations

Sustainable performance: Reduces costs while supporting green energy adoption

Flexible scenario management: Enables users to analyze different scenarios with various KPI settings

At a glance

  • AI-powered real-time scheduling

    The software utilizes Artificial Intelligence (AI) to generate optimized production schedules in real time.

  • Energy-integrated scheduling

    Aligns production schedules and process routes based on energy and resource availability.

  • Graphical transparency & KPI tracking

    Displays a clear graphical overview of the heat schedule and energy demand, along with economic and green KPIs.

See it in action

See Online Heat Scheduler in action and its impact on steel production

Whitepaper

Ready to unlock the full potential of Industrial AI?

Download our exclusive whitepaper to discover how PSImetals integrates cutting-edge AI solutions into production management for the steel and aluminum industry.

Explore how PSImetals enhances production efficiency by:

  • Embedding AI-powered optimization into Production Management Systems
  • Minimizing downtime and optimizing resource utilization with intelligent scheduling
  • Using Machine Learning to predict mechanical properties and prescriptive analytics for online process optimization
  • Supporting decarbonization with AI-driven energy forecasting and CO₂ tracking

Additional resources

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