Customer Reviews

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This is a book about quality improvement via proven techniques of statistical experiment design. It is full of illustrative examples, with mathematical details kept to a minimum. It is an excellent source of reference for industry personnel interested in improving the performance of products and processes beyond the deployment of the usual technical (engineering) approaches.

I bought this book 10 years, and find myself glued to it as I prepare a training course for my people on design of experiments in Minitab. They have really easy to understand explanation of important aspects of experiments, a nice templatee for setting up an experiment that I have used for years, and great explanations on factorial designs, the theories on reducing the size of experiments. The book also covers nested designs for isolating the cause of variation in your samples. I quote this book in so many places.

This book emphasizes a graphical analysis of data, omitting the details of the statistics. And you know, it is important to look at things graphically before running the statistics. Unfortunately, the book does not cover much on response surface designs, and very little on mixture designs. Overall, a great book that is well highlighted, still being looked at 10 years after i bought it.

This is a great book on using experiments to improve results. The authors do an excellent job of presenting the material in a digestible way and discussing how to get results in the real world. The authors also collaborated with others on the excellent Improvement Guide. A similar book but focused on using the PDSA cycle while this book is more focused on using design of experiments. But the mentality of the other book is visible here.

3rd edition is on its way now (but not published yet).

This book had done good efforts but currently Tagchi approach will better to get quick answer for decision making.