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Curious Cat Library: Design of Experiments

Design of Experiments Articles, Reports, Handbooks and Guides

101 Ways to Design an Experiment, or Some Ideas About Teaching Design of Experiments by William G. Hunter, Jun 1975
A great article sharing ideas on teaching and learning about Design of Experiments (DoE), a powerful and greatly underutilized tool. 6 simga efforts have greatly increased the use of DoE.
Applying DOE to Microwave Popcorn by Mark Anderson and Hank Anderson, Feb 1998
"Our DOE on microwave popcorn unintentionally turned out to be a destructive test. The heat and smoke generated at the upper limits of time and power degraded the chamber to a point where we decided it might be best to get a new machine."
Some Comments on Historical Designed Experiments by Keith M. Bower, Nov 2004
"I wanted to summarize some of the key reasons when and why such an approach would be statistically invalid, and this was the resulting paper. The concept of removing datapoints to 'get the software to work' was something I was very keen to address in the paper - i.e. it is wholly inappropriate."
Three Romeos and a Juliet: - Our early brush with Design of Experiments by Ravindra Khare, Jul 2002
Very easy to understand explanation of 3 factorial designed experiment. Defeinately no math or statistics knowledge needed.
Design of Experiments: An Overview and Application Example by John S. Kim and James W. Kalb, Mar 1996
"DOE techniques are not new to the health-care industry. Medical researchers have long understood the importance of carefully designed experiments. These techniques, however, have not been applied as rigorously in the product and design phases as in the clinical evaluation phase of product development."
What Can You Find Out From 8 and 16 Experimental Runs? by George Box, Feb 1992
Includes two articles on options for designed experiments. Design of Experiments is a tools used heavily in Six Sigma programs.
Teaching Engineers Experimental Design With a Paper Helicopter by George Box, Dec 1991
How a helicopter (made in with a regular sheet of paper) can be used to teach principles of experimental design including - conditions for validity of experimentation, randomization, blocking, the use of factorial and fractional factorial designs, and the management of experimentation.
How to Institute DOE in Your Company by Al Corwin, Sep 1999
"DOE works, but I don't need to sell that to the readers of this newsletter. But as certain as we all are, no one can deny that design of experiments faces resistance even in environments where it is a proven tool. Every research scientist or engineer who has had a major success from DOE can tell you story after story of how management still wanted problems solved one-factor-at-a-time."
Introduction to Statistical Experimental Design by Johan Trygg and Svante Wold, Dec 2004
"Statistical experimental design, a.k.a. design of experiments (DoE) is the methodology of how to conduct and plan experiments in order to extract the maximum amount of information in the fewest number of runs"
DOE It Yourself by Mark J. Anderson, Nov 0002
A list of Design of Experiments excercizes that can be done in a classroom setting or as home by students with short explanations and links to documents online wtih more details.
A Personal Story of DOE by Bill Kappele, Feb 1999
"Back in the lab, I tackled ink with DOE. I was able to perform a small number of experiments and learn about interactions among the ingredients. I could see which ingredients appeared to be the most important, which ingredients interacted, and which interactions were most important. This really was a powerful technique."
Studies in Quality Improvement: Dispersion Effects from Fractional Designs by George Box and R. Daniel Meyer, Feb 1986
"The expense of repeating measurements can sometimes be avoided by using unreplicated fractional factorials to identify factors that affect dispersion."
An Explanation and Critique of Taguchi's Contributions to Quality Engineering by George Box, Soren Bisgaard, and Conrad Fung, Mar 1988
"This paper presents an overview of Professor Genichi Taguchi's contributions and concludes that Professor Taguchi's quality engineering ideas are of great importance. However, many of the statistical design and analysis techniques he employs are often inefficient and unnecessarily complicated and should be replaced or appropriately modified."
Design Of Experiment For Software Testing by Madhav S. Phadke, Nov 0002
"Use of orthogonal array based testing has demonstrated to produce superior test plans that improve testing productivity by a factor of 2. This method is found effective in testing the incremental work done in all stages of software development. These stages include writing requirements, selecting architecture, designing the system (functional breakdown), unit testing, platform testing, integration testing, prototype testing, and system testing."
Design of Experiments for Six Sigma by Peter Peterka, Nov 0002
"Experimental methods are used to quantify previously undefined factors and interactions between factors. This is accomplished through crafting planned experiments where controlled changes of factors will determine which factors have the largest impact on quality characteristics."
The Rationale of Scientific Experimentation by John Dowd, Nov 0002
"In addition to their efficiency, factorial designs also offer the only method of detecting interactions through experimentation. Because numerous factors can be combined in the same series of experimental runs, the interactions can be detected and the nature of their effects can be evaluated when they are present."

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