Failures in the processing and use of products can often be prevented by applying a form of DOE called ruggedness testing. Check out this article to see how it's done for machine-made bread.
How do you react when a defect arises within one of your top powder coating products that defies conventional problem-solving techniques? You look for answers with DOE.
This article explains why standard factorial designs (one array) offer a cost-effective alternative to parameter designs (two array) made popular by Taguchi. It then discusses advanced tools for robust design that involve application of response surface methods (RSM) and measurement of propagation of error (POE).
This technical paper details a new class of high-resolution (V) minimum-run two-level factorial designs that characterize two-factor interactions with far fewer runs than classical templates. These "MR5" designs serve well as the core for central composite designs that reduce the number of runs needed for response surface methods.
Mix ordinary white glue (Elmer's Glue) and a cross-linking agent: borax (20 MULE TEAM brand from your local grocery store). Eureka! You've made play putty. To make things more interesting, add laundry starch. (STA-FLO concentrated liquid) to the mixture. See how well you can do with this home-made material in comparison to the real thing sold commercially as a toy: Silly Putty.
A DOE on machine-made bread shows how clever application of statistical methods quickly screens alternative ingredients to see which, if any, impair the desired reaction.
This kitchen experiment on a bread-baking machine illustrates the power of multifactor testing for unveiling breakthrough interactions. The surprising results from the original two-level fractional factorial were confirmed by an innovative follow-up experiment called a "semi-foldover".
Standard factorial designs (one array) offer a cost-effective and information-efficient robust design alternative to parameter designs (two-array) made popular by Taguchi. This paper compares these two methods (one-array versus two-array) in depth via an industrial case study. It then discusses advanced tools for robust design that involve application of response surface methods (RSM) and measurement of propagation of error (POE).