The solution Bosch Digital Twin – IAPM, Integrated Asset Performance Management, drives reliability and sustainability in the Manufacturing, Energy and Industrial Infrastructure domains by making machines speak. It enables to predict the problems on industrial machines before they arrive, based on symptoms.

Key Business Outcomes driven by the solution:

• Reduce Downtime or improve uptime of the machines
• Simple spare part management through predictable RUL (Remaining Useful Life)
• Energy Optimization with diagnostics & prognostics of asset efficiency
• Reduced machine failures & Asset Life Extension
• Build fundamental elements of Industrial Metaverse through HoloLens 2(IE)
• Semiautonomous monitoring and management with Power Platform & D365 packages

Now, machines are empowered to speak to their caretakers through MS Teams. Digital Twin – IAPM makes all of this possible.

This enables manufacturers to adopt the practices of Reliability Centered Maintenance (RCM) and Total Productive Maintenance (TPM).

Key Features:

• Hybrid modeling approach with physics-based modeling, first principles, and AI
• A cyber physical system built based on natural intelligence with connect, collect, consume, and cognition layers
• Powered with Multiphysics simulations, reduced order models, and virtual sensors
• Synthetic data generation with simulations and GANs
• Prediction of Remaining Useful Life of critical subsystems within the machine
• Predictable thermal, metallurgical, and chemical problems
• Interoperable and open ecosystem
• Seamless scalability with template-based approach
• Hybrid edge-to-cloud architecture capabilities
• Built-in communication protocols and connectors
• Remote monitoring and immersive visualizations with mixed-reality
• Maintenance training and remote maintenance with immersive experiences
• Autonomous workflows and virtual agents with chatbots

Bringing multiple stakeholders – maintenance, operations and C-suite executives - onto a common platform to create a single source of truth

Key KPIs Impacted

• Reduced maintenance costs
• Improved asset availability or reduced downtime
• Reduced time to maintenance
• Improved OEE
• Reduced MTTR & MTBF
• Predictable RUL
• Investment deferrals
• Optimized Total Cost of Ownership
• Improved business margins