Tools
Concepts
Designed Experiment (definition)
Points to Consider About a Designed Experiment
Making Your Industrial Experiments Successful.Some Useful Tips to Industrial Engineers
Virtual-DOE, Data Mining and Artificial Neural Networks
DOE Use in the Health Care Industry
Design & Factor Selection
Design Performance Indices DPI
Design Types & Categories
The following is an excerpt on DOE designed experiment techniques from Six Sigma Demystified (2011, McGraw-Hill) by Paul Keller.
Plackett-Burman Designs - Plackett-Burman (PB) designs are quite useful as screening designs. Plackett-Burman designs are generated in steps of four runs, from 4 to 100 runs. The number of runs n must be at least k + 1, where k is the number of parameters. For example, a design can be constructed in 12 runs to estimate 11 parameters.
When the number of runs is a power of two (i.e., 2x, such as 8-, 16-, or 32-run experiments), the design is the same as a standard fractional factorial. When the number of runs equals a factor of four (such as 12-, 20-, or 24-run experiments), the design can be more efficient than the fractional factorial.
Usually, for the same number of runs, the Johns ¾ designs can accommodate more interactions.
Learn more about the DOE tools for designed experiments in Six Sigma Demystified (2011, McGraw-Hill) by Paul Keller, in his online Intro. to DOE short course (only $99) or online Advanced Topics in DOE short course (only $139), or his online Black Belt certification training course ($875).