George E. P. Box

Books

Evolutionary Operation: A Statistical Method for Process Improvement
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.

Box on Quality and Discovery: with Design, Control and Robustness
Great book. A must for those serious about Quality Improvement. A collection of articles and reports over 15 years. Some articles require more statistical knowledge and are not for all managers but many are excellent for any manager.

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Total Quality: Its Origins and Its Future view details
An excellent summary how the scientific method drives Total Quality.

Quality in the Community: One City's Experience view details
Highlights the evolution of the Quality movement in Madison, Wisconsin and the role of the Madison Area Quality Improvement Network during the 1980's.

Statistics for Discovery view details
This report explores why investigators in engineering and the physical sciences rarely use statistics. It is argued that statistics has been overly influenced by mathematical methods rather than the scientific method and consequent the subject has been gr

Detecting Malfunctions in Dynamic Systems view details
Computer controls are increasingly being employed in systems ranging from simple to very complex. This report explores extending these computer systems to include monitoring schemes to detect malfunctions.

William G. Hunter: An Innovator and Catalyst for Quality Improvement view details
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

The Scientific Context of Quality Improvement view details
Scientific method is a key ingredient in the new philosophy of quality and productivity improvement. This paper provides an overview. A discussion of new ideas of how to design quality into products and processes is provided and Taguchi's work is evaluate

Good Quality Costs Less? How Come? view details
It is sometimes supposed that the manufacture of high quality goods must be expensive. The reasons why this need not be so and why quality should cost less are discussed. Publication: Quality Engineering, 1990-91, Vol. 3, No. 1, pp. 85-90.

Some Problems of Statistics and Everyday Life view details
"The wise investigator expends his effort not in one grand design... but in a series of small designs, analysing, modifying and getting new ideas as he goes."

What Can You Find Out From 12 Experimental Runs? view details
Examines the possibilities of factorialy designed experiments using many variables at once.

What Can You Find Out From 8 and 16 Experimental Runs? view details
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 view details
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...

On Quality Practice in Japan view details
Raghu Kackar, Vijay Nair, Madhav Phadke, Anne Shoemaker, and C.F. Jeff Wu. For engineers the quality training is a 30 day course covering QFD, 7 basic QC tools, 7 new QC tools, introduciton to design of experiments, robust product and process design, rel

Quality Quandaries-Six Sigma, Process Drift, Capability Indices, and Feedback Adjustment view details
"The Six Sigma specification makes an allowance of 1.5 standard deviations for process drift. Simple ways in which a major part of such drift can be removed are given. These employ feedback adjustment methods specifically designed for SPC applications."

Studies in Quality Improvement: Dispersion Effects from Fractional Designs view details
"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 view details
"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 in

Statistics as a Catalyst to Learning by Scientific Method view details
Explores the implications raised when Response Surface Methodology (RSM) is considered, as was originally intended as a statistical technique for the catalysis of iterative learning.

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George E. P. Box
Curious Cat Management blog posts related to George E. P. Box
Center for Quality and Productivity Improvement
Founded in 1985 by George E.P. Box and the William Hunter at the University of Wisconsin - Madison. The technical report series is one of the best online management resources with reports authors including: George Box, W. Edwards Deming, Peter Scholtes, Kaoru Ishikawa, William Hunter, Gipsie Ranney and Brian Joiner.
Statistics for Experimenters
Web site for the classic book on design of experiments. Includes a search engine for statistics sites for managers.

Tags: continual improvement curious cat picks data design of experiments Madison management manufacturing process improvement public sector quality learning quality management quality tools six sigma spc statistics university variation