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Informing Model End-Users in Industry on the Credibility of Predictions


Modeling and simulation (M&S) are a well-established part of the engineering design process. M&S are also gaining traction in other product life cycle processes through concepts like certification-by-analysis and digital twins. These advancements and the widespread influence of M&S continue to add relevance to the question of how much to trust computational model predictions. The answer to this question can be extremely challenging to determine and strongly depends on the application. Even if there is Verification, Validation, and Uncertainty Quantification (VVUQ) evidence to build credibility in the model predictions, this information is often difficult to convey to the model end-users (e.g., analysts, managers, experimentalists, etc.). For these reasons, this work developed a new credibility assessment, called the Credibility Index, that turns VVUQ results into an intuitive, numerical decision-making metric. The work presented here explains the formulation of the Credibility Index and compares the method to existing credibility assessments using real end-user feedback. The results highlight how the results-based, numerical Credibility Index increases the accessibility of credibility information to decision-makers for specific prediction scenarios.


  • Brief welcome from NAFEMS
    Jo Davenport, NAFEMS Regional Representative UK
  • Main presentation
    Informing Model End-Users in Industry on the Credibility of Predictions
    Jakob Hartl, Rolls Royce Plc.
  • Q&A session with the audience

Document Details

AuthorHartl. J
TypePresentation Recording
Date 1st August 2022
OrganisationsRolls Royce Purdue University


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