Track 2 Tutorial 2

3:30 to 5:00 p.m. Wednesday, June 16, 2010

DOE for Reliability and Optimization of Multiple Performance Characteristics

Design of Experiments (DOE) can be a valuable tool to solve complex problems and optimize multiple aspects of product designs and manufacturing systems. Multiple product performance requirements (including reliability requirements) must be jointly satisfied, but it is rarely obvious how to simultaneously meet all requirements without risky trade-offs.

DOE, when properly applied, provides an efficient approach to developing product/process understanding using predictive math models and allows the identification of optimal solutions (product design specifications and/or process specifications). Unfortunately, when DOE is utilized, it is often misapplied. This tutorial will present the most common misapplications and misunderstandings of DOE. A case study will be presented to illustrate successful application of DOE to optimize a product design in order to achieve reliability and other product performance requirements.

Key Words: Design of Experiments, DOE, Product Optimization, Process Optimization, Multi-Response Optimization

Allise Wachs

Integral Concepts, Inc.

West Bloomfield, Michigan