Rating: 
Summary: Right tools for right situation
Review: Most of techniques have been widely used in Motorola. This is a good book to learn Shainin Method which is practical and cost-effective for quality improvement. However, assistants of experts are highly recommended to conduct a real project because it does not explain the detail knowledge enough but mostly mention concepts. To compare and compensate Taguchi Method or classical DOE with Shainin Method this book would be very helpful as well as alternatives
Rating:
Summary: World Class Quality
Review: Quality is important. Bought three copies for folks in the office. The book printed upside down. A great example of quality by the AMACOM. Geeez.
Rating:
Summary: World Class Quality
Review: Quality is important. Bought three copies for folks in the office. The book printed upside down. A great example of quality by the AMACOM. Geeez.
Rating: 
Summary: Good info, but some "just plain wrong" parts
Review: Refer to Dr. Wheeler's book "Understanding Industrial Experimentation" for a detailed critique of some of Bhote's methods. Caveat emptor
Rating: 
Summary: World class quality?
Review: The book is a 500 pages long PR folder for Bothes consultancy. It tries to sell Shainin techniquies by comparing them to other techniques for problem solving, such as classical design of experiments and the Taguchi version. I guess that for a person not so familiar with those, Bothes & Bothes arguments may sound wise, which is unfortunate. No, try a good book on classical design of experiments instead, like, for instance Box, Hunter & Hunter's "Statistics for experimenters".
Rating: 
Summary: Apples and Oranges
Review: The methods highlighted in this book are cheapened by the constant slamming of other methods. Constant references to fractional factorials leading to "downright wrong results" and similar comments indicate either a profound lack of knowledge (which I doubt), or an ulterior motive. ANY methods that are misused, or used with your brain checked at the door will lead to downright wrong results! Bhote makes contrasts & compares his tool set (all of which he calls "DoE") to the stand-alone classical DOE techniques. This comparison is apples to oranges. It is rarely appropriate to launch into a stand-alone DOE without understanding the process and product through use of other tools. So, many of the conclusions drawn are valid only if you want to compare "apples to oranges". A more appropriate comparison would have been Bhote's methods to the full Six Sigma methodology.Beyond that, there appear to be numerous typos in the examples which were distracting, and made it a challenge to follow the solutions. In spite of the one-sided comparisons and poor editing, I enjoyed reading the book and learning about the methods.
Rating:
Summary: Apples and Oranges
Review: The methods highlighted in this book are cheapened by the constant slamming of other methods. Constant references to fractional factorials leading to "downright wrong results" and similar comments indicate either a profound lack of knowledge (which I doubt), or an ulterior motive. ANY methods that are misused, or used with your brain checked at the door will lead to downright wrong results! Bhote makes contrasts & compares his tool set (all of which he calls "DoE") to the stand-alone classical DOE techniques. This comparison is apples to oranges. It is rarely appropriate to launch into a stand-alone DOE without understanding the process and product through use of other tools. So, many of the conclusions drawn are valid only if you want to compare "apples to oranges". A more appropriate comparison would have been Bhote's methods to the full Six Sigma methodology. Beyond that, there appear to be numerous typos in the examples which were distracting, and made it a challenge to follow the solutions. In spite of the one-sided comparisons and poor editing, I enjoyed reading the book and learning about the methods.
Rating:
Summary: Apples and Oranges
Review: The methods highlighted in this book are cheapened by the constant slamming of other methods. Constant references to fractional factorials leading to "downright wrong results" and similar comments indicate either a profound lack of knowledge (which I doubt), or an ulterior motive. ANY methods that are misused, or used with your brain checked at the door will lead to downright wrong results! Bhote makes contrasts & compares his tool set (all of which he calls "DoE") to the stand-alone classical DOE techniques. This comparison is apples to oranges. It is rarely appropriate to launch into a stand-alone DOE without understanding the process and product through use of other tools. So, many of the conclusions drawn are valid only if you want to compare "apples to oranges". A more appropriate comparison would have been Bhote's methods to the full Six Sigma methodology. Beyond that, there appear to be numerous typos in the examples which were distracting, and made it a challenge to follow the solutions. In spite of the one-sided comparisons and poor editing, I enjoyed reading the book and learning about the methods.
Rating:
Summary: Good practical approach, but the book is filled with typos
Review: The Shainan approach is quite practical for industrial use. As many other reviewers have written, the constant slamming of other approaches detracts from the book quality. In the final analysis, the book overlooks that aliaising that will still occur, unless there are 4 or fewer factors, even after the screening methodologies have been used. But they should be small if the screening has really identified the various shades of X's
The major problem with the book is that it is riddled with typos. Some of the typos are worse than in the previous addition. Consequently, one has to read with great care and check every number! Quite frustrating when using it to teach the Shainan approach!
Rating:
Summary: Beware of hacks
Review: This work is poison for the minds of the statistically disadvantaged. It is a violation of the Theory of Variation and an embarrasment to the contributions of Dr. Shewhart and Dr. Deming. If the author had an understanding of the distinction between an enumerative and an analytical problem, and learned how to view the relationship between the voice of the process and the voice of the customer, he would refund everyone's money and apologize
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