The vision of this ASSESS Initiative Theme is for engineering organizations to have a high level of trust in the use of Engineering Simulation tools, processes and activities when making critical business decisions.  A key element in achieving this objective is through the appropriate implementation of Engineering Simulation governance as a strategic business asset.  The efforts related to this Theme will guide and influence Engineering Simulation software development and implementation strategies that establish the appropriate trustworthiness of digital simulation predictions for business decision making.

This Theme will explore the different issues summarized below that are associated with Engineering Simulation credibility for achieving business goals that have a direct impact on product quality, development efficiency, risk, and safety.

  • Confidence Level of Simulation Results vs. Simulation Risks
    • Simulation Credibility: Based on Judgment, Experience & Evidence-Based VVUQ
    • Simulation Risk: Inaccurate Predictions lead to Product Failure or Reduced Performance lead to Financial Liability lead to Customer Loss
  • Engineering Simulation Governance
    • Policies & Procedures
    • Standard Tools & Processes
    • Process & Data Management Policies & Standards
    • Best Practices
    • Quality Assurance Metrics & Expected Model Fidelities
    • Uncertainty Quantification & Risk Management Guidelines
    • Simulation Verification & Validation
    • Deployment & Maintenance of Software Tools & Systems
    • Coupling of Physical Test & Operational System Data with Simulation
    • Technical Skills, Competencies & Cultural Topics; Training & Mentoring
  • Business Goals
    • Increase Innovation
    • Increase Quality / Risk Management
    • Reduce Cost
    • Reduce Time
    • Reduce Risk

Simulation Governance definition courtesy of NAFEMS

Members Only


Simulation governance is “Managerial functions focused on strategic business assets and processes for cross-functional collaboration in using logical, mathematical, and physical models to study the behavior of systems, including quality and credibility assurance procedures, tool standardization, best practices, optimal use and coupling of digital, physical, and operational data, and provision of the needed resources.” 



Credibility theme 2017 Congress Working Session report
by Rod Dreisbach, Engineering Simulation Consultant, Sr. Technical Fellow (Retired), The Boeing Company

Confidence theme 2016 Congress Working Session report
by Keith Meintjes, Practice Manager, Simulation and Analysis, CIMdata


Simulation Governance – NAFEMS/CIMdata