Webinar: Monte Carlo Simulation & Optimization for Robust Design with DiscoverSim

In this webinar we will introduce robust design by optimizing the spring force of a shut off valve (example by Andrew Sleeper). If the spring force is too high, the valve will not open or stay open. If the spring force is too low, the valve can be opened by the inlet gas pressure.

In order to achieve a robust product design, we would like to address the following questions:

  • What is the predicted process capability?
  • What are the key X variables that influence spring force Y?
  • Can we improve the process capability by tightening the tolerance of the important variables?
  • Can we adjust the nominal settings of X to reduce the transmitted variation in Y, thereby making the Spring Force robust to the variation due to feature tolerances?

Monte Carlo simulation and global optimization tools in DiscoverSim software will be used to help answer these questions and to achieve a dramatic reduction in variation!

Agenda:

  • Case Study: Robust Design of Shut-Off Valve Spring Force
  • DiscoverSim Software
  • Monte Carlo Simulation
  • Selecting a Distribution
  • Optimization for Robust Design
Register Now!
John Noguera
John Noguera

About John Noguera

John Noguera is Co-founder and Chief Technology Officer of SigmaXL, Inc., a leading provider of user-friendly Excel add-ins for Lean Six Sigma tools, statistical & graphical analysis and Monte Carlo simulation. He leads the development of SigmaXL and DiscoverSim with a passion for ease-of-use, practical & powerful features, and statistical accuracy. John is a certified Six Sigma master black belt and was an instructor at Motorola University. He has authored conference papers on Statistical Process Control and Six-Sigma Quality and is a contributing author in the Encyclopedia of Statistics in Quality and Reliability (Wiley).