Used at over 100 Companies, Institutes and Universities
Worldwide for training in
Design of Experiments
An Instructional Videotape Series Designed to Catalyze Creativity for Quality Improvement
Why should I be interested in using experimental design?
Leading companies have found ways to achieve high quality products while reducing cost, increasing productivity, and speeding up the development of new products and processes. The key to their success has been the wide use of statistical methods and, in particular, of experimental design. These videotapes explain these ideas to engineers, scientists, and managers.
Graphics, not Formulas
The authors of these tapes have many years of experience presenting ideas simply and effectively. . .they use graphics, not formulas, giving deep understanding in the shortest possible time
Six videotapes, with a total running time of 4+ hours, explore the following topics.
|
|
|
| How to apply the enormous power of scientific problem solving to every process in your organization. Simple tools are presented for identifying and solving the problems in any system, process, or product. This overview is an eloquent introduction to quality ideas for executives, managers, engineers and line workers alike. | |
Quality and the Art of Discovery
|
|
| This adaptive philosophy of experimentation is the key to never ending improvement and to effective and economical experimentation. | |
|
|
|
| How to get more information with fewer experiments -- a foundation for efficient and cost-effective investigation. | |
|
|
|
| How to identify the vital few factors that impact quality -- the efficient way to screen a large number of factors with only a few experimental runs. | |
|
|
|
| How to cancel the effects of uncontrollable factors during experimentation. | |
|
|
|
| Graphical methods eliminate the need for complicated formulas. The plots show you which factors have important effects and help you understand what they do. | |
|
|
|
| From concept to conclusions, a fractional factorial experiment is used to investigate the effect of various design modifications on the aerodynamics of a paper helicopter. This is a device you can also use for hands-on class demonstrations. | |
|
|
|
| How to visualize geometrically the problem of optimization using response surface methods, and to design experiments step by step, each step building on what has been learned before. In this way, the number of experiments needed to solve the problem is minimized. | |
|
|
|
| How to design products that perform well under a wide range of environmental conditions, and that are insensitive to manufacturing variation. | |
Our Approach to Knowledge Transfer
|
|
|
| Our teaching is by example, spiced from time to time with humor. In one sequence, some of the excitement of discovery is imparted as we see a statistically planned experiment actually being run. We move from the inception of the idea, through the experiment itself, to its interesting conclusions. | |
|
|
|
| Easily understood graphical techniques and simple calculations replace complicated methods such as the analysis of variance. | |
|
|
|
| A ready-reference book of most often used experimental designs is included with the tapes. | |
|
|
|
| A clear explanation of Taguchi's important key concepts is presented, including the design of products which are insensitive both to manufacturing variation and to the varied environmental conditions in which customers expect products to perform. Complicated procedures are eliminated and, where appropriate, are replaced by simpler and more effective methods. | |
|
|
|
| Statistical methods are a means to catalyze the experimenter's natural creativity to enable him to obtain experimental results more effectively and quickly. | |
Bundled Software Availability
|
|
|
| simplify the use of design of experiments in practical product design and manufacturing. This software product is available for MS Windows and various Unix platforms. It supports the concepts presented in the Designing Industrial Experiments video tape series. It is also keyed to the books, Statistics for Experimenters by Box, Hunter, and Hunter and Empirical Model Building and Response Surfaces by Box and Draper. | |
Further Study
- In addition to the videotapes, three complete sets of notes containing all visuals and a book
of statistical designs are provided. Both may be used to follow along with the tapes, and for further study.
- Also provided with the tapes is a copy of the best-selling book Statistics for Experimenters
by Box, Hunter and Hunter, published by John Wiley and Sons. This is a valuable source of additional examples and background
reading.
- The Designing Industrial Experiments video tape series was developed by George E.P. Box, Soren Bisgaard, and Conrad Fung. It is based on a short course offered at the Center for Quality and Productivity Improvement and Department of Industrial Engineering at the University of Wisconsion-Madison. You may contact the CQPI for more information on their course offerings. They also offer technical papers covering various managerial and technical issues related to quality improvement.
Materials included in Designing Industrial Experiments:
- Six high quality tapes (available in VHS-NTSC and VHS-PAL formats)
- Optional: companion SCA Quality Improvement Package (QPI) for Windows
- Three sets of notes containing copies of all visuals shown in the tapes
- A copy of A Practical Aid to Experimenters by Soren Bisgaard which makes it easy to choose the right design
- A copy of the best-selling book Statistics for Experimenters by Box, H unter & Hunter
- Warranty on merchandise
Domestic orders are shipped via UPS second day air. Overseas orders are shipped via U.S. Express Mail.
The Sources
George Box, Soren Bisgaard, and Conrad Fung are internationally known for their careful analysis of quality techniques of many different kinds from around the world. They are also well known for their own extensive original work in industrial experimental design and quality improvement techniques. Drawing on this wide fund of knowledge, these tapes present a synthesis of the very best ideas, whether originating in Japan, Great Britain, the United States, or elsewhere; and whether associated with such names as Deming, Shewhart, Ishikawa, Box, Juran, Daniel, Joiner, Fisher, Gosset, Hunter, Golomski, Tippett, or Taguchi.
Instructors
George Box, a world famous statistician with extensive industrial and research experience, is the originator of many widely used methods for quality improvement, and is a Shewhart medalist and the 1 989 recipient of the Deming Medal. He has coauthored many books, including The Design and Analysis of Industrial Experiments; Time Series Analysis-Forecasting and Control; Evolutionary Operation; Statistics for Experimenters; and Empirical Model Building and Response Surfaces. For many years he was a practicing statistician with Imperial Chemical Industries, and Professor of Statistics at the University of Wisconsin-Madison. He is a Fellow of the Royal Statistical Society, the American Academy of Arts and Sciences, and the American Society for Quality Control, and has been the recipient of many awards, medals and honors.
Soren Bisgaard, Center for Quality and Productivity Improvement, is a faculty member of the Department of Industrial Engineering at the University of Wisconsin-Madison. He is an experienced industrial consultant in quality improvement and operations research. He holds two engineering degrees in industrial and manufacturing engineering, and M.S. and Ph.D degrees in statistics from the University of Wisconsin-Madison. He is a recipient of both the Shewell and Brumbaugh Awards from the American Society for Quality Control for excellence in publication.
Conrad Fung is an industrial consultant in private practice in Madison, Wisconsin. He has been a practicing statistician at the DuPont Company, where he was a consultant to quality control initiatives at manufacturing plants in Europe and the United States, and a faculty member of the Department of Industrial Engineering at the University of Wisconsin-Madison. He received M.S. and Ph.D degrees in statistics from the University of Wisconsin-Madison. He has served as Chair of the Statistics Division of the American Society for Quality Control.