Accelerating Product Design with Simulation and Stochastic Optimization

Andy Sleeper, President of Successful Statistics LLC, will present a case study at the 2009 Palisade Conference: Risk Analysis, Applications, & Training. The conference is set to take place on 21 – 22 October at the Hyatt Regency in Jersey City, 10 minutes by PATH from Manhattan’s Financial District.

See the abstract for Mr. Sleeper’s case study below, and see the full schedule for the Conference here.

Accelerating Product Design with Simulation and Stochastic Optimization

The key to successful new product development is to anticipate and prevent problems before they happen. Design For Six Sigma (DFSS) is a system of risk-prevention tools used by world-class companies to launch new products of the highest quality, in the least time, and at the lowest cost. Simulation and optimization tools are among the most powerful DFSS tools, allowing engineers to prevent performance and capability problems before the first prototypes are built. What once required months or years to discover now takes only minutes to prevent.

This case study demonstrates a suite of tools every engineer must know to be competitive:

  • Deterministic optimization prevents performance problems
  • @RISK Monte Carlo simulation identifies capability problems and improvement opportunities
  • RISKOptimizer stochastic optimization prevents capability problems

» Register now for the 2009 Palisade Conference in NYC – Save $200
» See the full schedule

Published by shunt27

I am a Lean Six Sigma Black Belt at Palisade Corporation.

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