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Building Credible Simulation Models: Verification, Validation & Techniques

Learn to create valid, detailed simulation models by verifying, validating, and applying relevant techniques for ensuring accuracy. Explore data collection, model assumptions, and statistical procedures.

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Building Credible Simulation Models: Verification, Validation & Techniques

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  1. MECH 3550 :Simulation & Visualization Building valid, credible and appropriately detailed simulation models

  2. Key Words and Definitions

  3. Verification and Validation Process

  4. Level of Detail in Model

  5. Verification Techniques

  6. Validation and Credibility Techniques

  7. Collecting High-Quality Info and Data on System

  8. Benefits of Interacting with the Manager Throughout Process

  9. A Written Assumptions Document Should Include The Following

  10. Components of the Model that may need Validation

  11. How to Validate the Output

  12. Management’s Role

  13. Statistical Procedures for Comparing Real-World Observations and Simulation Output Data

  14. Inspection Approach Compare

  15. Confidence-Interval Approach

  16. Time-SeriesApproaches • Linear Regression • Non-linear Regression • Genetic Algorithms • Ex: Spectral Analysis

  17. Lab Assignment • Validate the Following Model Using the Confidence Interval Approach: https://www.mathworks.com/help/physmod/simscape/examples/house-heating-system.html

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