The One With the Digital Twin
Digital Twin Simulation Assurance and Reliability Framework
A risk-based governance framework for assessing the credibility and operational reliability of digital-twin simulations.
Context
Digital twins used in manufacturing and critical infrastructure require credible evidence that their models, data, assumptions, and outputs are reliable enough to support operational decisions.
Challenge
Digital twins used in manufacturing and critical infrastructure require credible evidence that their models, data, assumptions, and outputs are reliable enough to support operational decisions.
Objective
Design a governance model for assessing digital-twin credibility across manufacturing and critical-infrastructure contexts.
Approach
- Led a 4-member team.
- Designed the Simulation Assurance and Reliability Framework.
- Developed a risk-based assurance methodology.
- Connected model validation, simulation evidence, governance checkpoints, data quality, and operational reliability.
- Structured assurance across the full digital-twin lifecycle.
My Role
Led the team, designed the assurance framework, and developed the risk-based methodology connecting validation, governance, and operational reliability.
Analysis
- Model validation and simulation evidence requirements
- Governance checkpoints across the digital-twin lifecycle
- Data quality standards for simulation inputs and outputs
- Operational reliability criteria for decision support
Outcome
Produced a governance model for assessing digital-twin credibility across manufacturing and critical-infrastructure contexts.
Key Takeaways
- Digital-twin credibility requires lifecycle-wide assurance.
- Risk-based governance connects validation, data quality, and operational reliability.
- Structured frameworks enable trusted simulation-based decisions.