Customer Reviews

Design for Six Sigma Statistics: 59 Tools for Diagnosing and Solving Problems in DFFS Initiatives

5 star:		(3)
4 star:		(1)
3 star:		(0)
2 star:		(0)
1 star:		(1)

 

 

Well folks, clear off some space on your desk and make sure that space is right next to your PC as this is the new "king".

As a Sr Engineer that has worked with suppliers for a number of years, this book is the new "one stop shop". Andy proactively admits that this is an engineer's guide first and math guide second, but his due diligence to the math is better than some "math" books on the topic. This is now the only book I keep at work. If more depth is needed, I bust out Montgomery's DOE book or his SQC book. If more depth is needed in DFSS, I open Yang and El-Haik's book. What most people miss is the overlap with tolerance analysis and to support this one, I turn to Creveling's tolerance design book and for the Dim and Tol stuff I turn to Drakes book titled, Dim and Tol Handbook written by the best in class for each chapter.

Now, back to Mr. Sleeper's work of magic. First, his examples are world class, well written, they flow, and when you read them, you can imagine yourself in that persons shoes. His humor is sprinkled just enough to peak a smile and the gem is left for last. If you have any of the other texts mentioned above, skip right to chapter 11 and watch the mystery unfold. Here Andy takes us down the path of true Design Simulation. Here we talk stackups, tolerances, cpks, six sigma expectations, DOEs, and Monte carlo. All design engineers out there need to buy this book and skip right to chapter 11 and for all those folks doing pure RSS stackups, you are being too optimistic on normality occurrences my friends. Read chapter 11 and see a safer time zero assumption. Normality is nice, but don't assume it at time zero.

So, what should Mr. Sleeper write next: skip the quality tools Andy, all the old folks already write about them. Take us down the path of truly integrated design simulation. Tell the publisher you want a best in class bible on Design Simulation. To do this, follow Mr. Drake's idea and let the content experts write a chapter. You have the vision, guide them.....Take chapter 11 and make it a separate textbook. Lets talk more about Monte carlo and the cross correlation pitfalls or not. Lets talk summarized research on best known dist for types of data, uniform, lognormal, etc. Then lets discuss the tweakable dist you stats geeks out there love to talk about and their pitfalls. I want to know more on truncated normals in @Risk and Crystalball, are they still normal then? We can also add the discussion on the hidden math that people never do....yeah the time zero partial diff to tell us what range to set the DOE +1 and -1 limits at.

So, to all you dorks like me that cant wait for books like this, here is the deal.

Content of this book. A- as depth can't possibly be there on all topics. Flow of book and depth needed to get your job done A+. Style points and readability points, A+ Humor B+, the fact that the publisher was too na?ve to realize that a book this thick will never stay open when reading it, absolute F. Do your benchmarking you idiots. Oh that's right they did, as they are the same ones that biffed up Yang and El-Haik's book as well. It's bad enough that they should reprint and make book larger. Book needs at least the size of Montgomery's SQC book or Drakes Dim and Tol handbook.

So, content A, book size lending itself as a true handbook, F. No-one can give this thing a 5 star rating just on that fact alone. Andy, declare a "mis-print" and demand justice 

I just got this on loan from my company library. I think I may have to pony up the cash up to put it in my personal library.

Right from the first few chapters, I knew I was going to love this book. Mr. Sleeper has an oustanding attention to detail. He even includes a chapter on how you should chart your data to better analyze it.

Even with the attention to detail, he writes in a precise manner. It just made sense more than any Six Sigma book I've read yet, and that is what matters. I just wish he published this book a long time ago.

I admittedly have not completed the full book, as it is thick. However I do find that the narrative focuses on the reactive rather than the proactive tools needed for DFSS. For example almost all the examples given in section 2 talk about an existing system or process and there doesn't seem to be any design examples and how the stats are used to solve the design problems. I therefore think the book is more about Six Sigma than DFSS.

Barry

This text is quickly becoming the best desktop reference guide for problem solving. The combination of useful and easy to understand examples, with ALL detail about method of calculation is quickly making this text my #1 goto for questions on problem solving and statistical strategies.

Sad that one reviewer give 1 star. He has his points because the book is not specifically for DFSS and can be used for SS. To me, the principles are the same and it is a matter of application.

Very systematic book highlighting 59 tools to use.

i'm particularly impressed with the DOE section. I've not finished this book though. What impressed me is that Andrew makes it easy to understand. He uses examples and stories to make it interesting and fun so I'm left wanting to read more! The stories use real life examples (real enough) so it is easy to relate the tools to real application. I've read a couple of DOE books and still is lost. This book is good! i probably still need other books to be more advanced but this will be a very good reference and builds a strong foundation.