Tag: design of experiments

Management Books

Design and Analysis of Experiments: 5th edition by Douglas C. Montgomery
Covering factorial and fractional factorial design, experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies.

Evolutionary Operation: A Statistical Method for Process Improvement by George E. P. Box, Norman R. Draper
Evolutionary Operation (EVOP), is a simple but powerful statistical tool with wide application in business. What originally motivated the introduction of EVOP, was the idea that the widespread and daily use of simple statistical design and analysis during routine production by process operatives themselves could reap enormous additional rewards.

101 Ways to Design an Experiment, or Some Ideas About Teaching Design of Experiments by William G. Hunter
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.

Design of Experiments: An Overview and Application Example by John S. Kim, James W. Kalb
"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. The recent focus by FDA on process validation underscores the need for well-planned experimentation."

William G. Hunter: An Innovator and Catalyst for Quality Improvement by George E. P. Box
This is the text of a talk given at the Speakers' Dinner at the Sixth Annual William G. Hunter Conference on Quality in Madison, Wisconsin, on June 2, 1993. In it, George Box recalls Bill Hunter's pivotal role in the birth of the quality movement in the c

Development of the Theory of Experimental Design by R.A. Fisher
Proceedings of the International Statistical Conferences, 1947.

Integrating Experimental Design and Statistical Control for Quality Improvement by Harriet Black Nembhard, Rene alverde-Ventura
"As a result of a successful case study, we advance a methodology for combining design of experiments (DOE) and cumulative score (Cuscore) charts to control and monitor an industrial process subject to a feedback control scheme. We use DOE to screen out the most important variable from a larger set of variables."

What Can You Find Out From 8 and 16 Experimental Runs? by George E. P. Box
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 E. P. Box
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...

Introduction to Statistical Experimental Design by Johan Trygg, Svante Wold
"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"

Using Design of Experiments as a Process Road Map by Davis Balestracci
"The current design of experiments (DOE) renaissance seems to favor factorial designs and/or orthogonal arrays as a panacea. In my 25 years as a statistician, my clients have always found much more value in obtaining a process "road map" by generating the inherent response surface in a situation."

Combinatorial Software Testing by Rick Kuhn, Raghu Kacker, Yu Lei, Justin Hunter
While the most basic form of combinatorial testing, pairwise, is well established, and adoption by software testing practitioners continues to increase, industry usage of these methods remains patchy at best. However, the additional training required is

Design of Experiments in Healthcare Delivery
"Typically, this involves iterative testing of different factors, settings and configurations, and using the results of successive tests to further refine the product or process. When properly done, a DOE approach produces more precise results while using many fewer experimental runs than other methods (e.g., one factor at a time, or trial and error)"

Curious Cat Management Improvement Articles by John Hunter
Hundreds of useful management articles hand selected to help managers improve the performance of their organization. Sorted by topic including: Deming, lean manufacturing, six sigma, continual improvement, innovation, leadership, managing people, software development, psychology and systems thinking.

Curious Cat Management Improvement Blog by John Hunter
Blog by John Hunter on many topics to to improve the management of organizations, including: Deming, lean manufacturing, agile software development, evidence based decision making, customer focus, innovation, six sigma, systems thinking, leadership, psychology, ...

Hexawise - Combinatorial Software Testing by Justin Hunter
This blog, by Justin Hunter, is about efficient and effective software test design strategies, including pairwise and combinatorial methods that are gaining traction in the testing community.

Statistics for Experimenters by George E. P. Box, J. Stuart Hunter, John Hunter, William G. Hunter
Web site for the classic book on design of experiments. Includes a search engine for statistics sites for managers.

Life and Legacy of William G. Hunter by John Hunter, William G. Hunter
George Box, Stuart Hunter and Bill wrote what has become a classic text for experimenters in scientific and business circles, Statistics for Experimenters. Bill also was a leader in the emergence of the management improvement movement. George Box and Bill co-founded the Center for Quality and Productivity Improvement at the University of Wisconsin-Madison. Bill Hunter was also the founding chair of the ASQ statistics division.