Establishing Robust Quality Control Practices to Increase Reliability of Computational Models
Time: 10:30 am
day: Day Two Track A AM
Details:
• Identifying the most common quality challenges and root causes of these with computational outputs
• Benchmarking the most effective approaches to minimize human error in model creation and how you can streamline final quality checks before publishing design options
• Confronting the current limitations of the software in creating high quality models and how teams are trying to combat this
