"This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University

"It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings."
—Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota 

This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following:

• How can I do screening inexpensively if I have dozens of factors to investigate?
• What can I do if I have day-to-day variability and I can only perform 3 runs a day?
• How can I do RSM cost effectively if I have categorical factors?
• How can I design and analyze experiments when there is a factor that can only be changed a few times over the study?
• How can I include both ingredients in a mixture and processing factors in the same study?
• How can I design an experiment if there are many factor combinations that are impossible to run?
• How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study?
• How can I take into account batch information in when designing experiments involving multiple batches?
• How can I add runs to a botched experiment to resolve ambiguities?

While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

"The book that crowned the quality revolution (with over 100,000 copies sold since 1991) is poised to make it happen all over again. This new and expanded edition of the widely influential World Class Quality not only provides more techniques and case studies, but also extends them into new areas (such as the service sector) and shows how to use them in a wider variety of applications. A new coaching emphasis makes it easy for managers to make these tools available at all levels of a company and even to customers and suppliers. The book also offers: * A practical way to secure top management commitment and make "Design of Experiments" a way of life at any company * A new reliability technique that simulates field failures at the design stage so they can be prevented before production * A new chapter summarizing related quality management and control techniques, making this an essential book for managers concerned with quality."

Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis.

The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their effective implementation. Although many books have been written in this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers.

Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as by those using statistical methods and readers will find the concepts in this book both familiar and easy to understand. The book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies. Design of Experiments forms part of the suite of tools used in Six Sigma.

Key features:
* Provides essential DOE techniques for process improvement initiatives
* Introduces simple graphical techniques as an alternative to advanced statistical methods - reducing time taken to design and develop prototypes, reducing time to reach the market
* Case studies place DOE techniques in the context of different industry sectors
* An excellent resource for the Six Sigma training program

This book will be useful to engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic.

Dr Jiju Anthony is Senior Teaching Fellow at the International Manufacturing Unit at Warwick University. He is also a trainer and consultant in DOE and has worked as such for a number of companies including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large number of SMEs.

* Provides essential DOE techniques for process improvement initiatives
* Introduces simple graphical techniques as an alternative to advanced statistical methods - reducing time taken to design and conduct tests
* Case studies place DOE techniques in the context of different industry sectors

Formative and design experiments represent a methodology uniquely suited for educational research in general and literacy research in particular. Providing a practical overview of this emerging and promising approach, the authors address the following questions: What is the origin of formative and design experiments and how do they compare to other approaches to investigating interventions in classrooms? How do you conceptualize, plan, conduct, and report formative and design experiments? What practical, ethical, and methodological issues might be encountered when using this approach? What is the current status and future potential of this approach?

RSM Simplified keeps formulas to a minimum and makes liberal use of figures, charts, graphs and checklists. It offers many relevant examples, with amusing sidebars and do-it-yourself exercises that will lead readers to the peak potential for their product quality and process efficiency.

The authors, Mark J. Anderson and Patrick J. Whitcomb, are principals of Stat-Ease, a provider of DOE training, consulting, and software. They both are professional chemical engineers. Anderson has more of a business background while Whitcomb specializes in statistics.

Incorporated into this book is the more advanced Design-Expert, version 7 software for Windows, with a 180-day trial, so the reader can do the complex statistical computations, generate the necessary graphics (2D and 3D maps) and perform the numerical optimization.

Fulfill the practical potential of DOE-with a powerful, 16-step approach for applying the Taguchi method

Over the past decade, Design of Experiments (DOE) has undergone great advances through the work of the Japanese management guru Genechi Taguchi. Yet, until now, books on the Taguchi method have been steeped in theory and complicated statistical analysis. Now this trailblazing work translates the Taguchi method into an easy-to-implement 16-step system.

Based on Ranjit Roy's successful Taguchi training course, this extensively illustrated book/CD-ROM package gives readers the knowledge and skills necessary to understand and apply the Taguchi method to engineering projects-from theory and applications to hands-on analysis of the data. It is suitable for managers and technicians without a college-level engineering or statistical background, and its self-study pace-with exercises included in each chapter-helps readers start using Taguchi DOE tools on the job quickly. Special features include:
* An accompanying CD-ROM of Qualitek-4 software, which performs calculations and features all example experiments described in the book
* Problem-solving exercises relevant to actual engineering situations, with solutions included at the end of the text
* Coverage of two-, three-, and four-level factors, analysis of variance, robust designs, combination designs, and more


Engineers and technical personnel working in process and product design-as well as other professionals interested in the Taguchi method-will find this book/CD-ROM a tremendously important and useful asset for making the most of DOE in their work.

Presents a novel approach to the statistical design of experiments, offering a simple way to specify and evaluate all possible designs without restrictions to classes of named designs. The work also presents a scientific design method from the recognition stage to implementation and summarization.