Digital Twin for Real-Time Decision Support

Aerospace , Automotive , Manufacturing

Real-time production monitoring enables predictive issue resolution, proactive decision-making, and continuous process optimization. A digital twin enhances operational agility and efficiency.

Challenges

  • Lack of real-time visibility: How can manufacturers continuously monitor and optimize their production systems?
  • Reactive issue resolution: How to shift from fixing problems after they occur to proactively preventing them?
  • Uncertainty in decision-making: How to test different operational strategies before implementing them?
  • Inefficient resource utilization: How to optimize workforce, equipment, and materials in real-time?
  • Unpredictable disruptions: How can companies prepare for sudden breakdowns or demand changes?

How Simulation Helps

Evoma offers tailored plugin solutions for inFACTS Studio, enabling companies to integrate real-time data streams, automation, and AI-powered analytics to enhance their digital twin capabilities. These custom plugins help businesses create decision-support tools that align with their unique operational needs.

  • Real-Time Performance Monitoring: Live dashboards track KPIs, machine performance, and production efficiency.
  • Handle Uncertainty: AI-algorithms to address machine failures, bottlenecks, and delays.
  • What-If Scenario Analysis: Simulate alternative strategies before making costly operational changes.
  • Dynamic Scheduling Adjustments: Real-time dispatching and sequencing optimize workflow efficiency.
  • Optimal Resource Allocation: Ensures efficient distribution of workforce, machines, and inventory.
  • Operational Decision Support: Provides managers with data-driven recommendations to enhance performance.

Expected Results

  • Increased transparency: Real-time insights for faster and smarter decision-making.
  • Optimized efficiency: Better resource utilization and scheduling for improved productivity.
  • Proactive operations: Shift from reactive problem-solving to continuous optimization.
  • Improved scenario planning: Test and validate different strategies risk-free.