Experienced practitioners who construct complex simulation models of critical systems know that replicating real-world performance is challenging due to uncertainties found in simulation models and physical tests. These uncertainties arise from sources like measurement inaccuracies, material properties, boundary and initial conditions, and modeling approximations. When determining the best course of action, these uncertainties make it difficult for program managers to trust their results and to confidently make decisions. By integrating Uncertainty Quantification (UQ) into the decision framework, program decision makers can trust their results and understand more about their system, including:
Using the Department of Defense decision framework for defense systems for illustration, this webinar will walk through the three types of decision analytics – descriptive analytics, predictive analytics and prescriptive analytics – and explore how UQ is the connective tissue between these analyses and critical decisions. This webinar will also include a demo of SmartUQ’s UQ and engineering analytics software toolset and how they integrate into the decision framework.
