Develop a disciplined, consistent approach to quantifying how well the system meets the requirements subject to real-world variabilities by forecasting risks in domains such as product performance, cost, and schedule to support better decision making.
By enabling probabilistic analysis of the reliability of components, you can schedule maintenance based on quantified risk-based metrics as opposed to static requirements such as a fixed number of operational cycles.
The industry is moving towards data-driven engineering where it has become increasingly important to manage and understand the data coming from a multitude of sources such as sales, design, and manufacturing. By applying Uncertainty Quantification and predictive analytics methodologies, you can make your decisions with confidence. Through the integration of data from different departments, you and your team can understand the risks at each decision-making step and potential paths to mitigate them.
To learn more about UQ and predictive analytics, check out SmartUQ's white papers and webinars.
