Statistical Process Analysis [Hardcover]

Layth C. Alwan (Author)

Book Description

ISBN-10: 0256119392 | ISBN-13: 978-0256119398 | Publication Date: September 17, 1999 | Edition: 1

This text presents a comprehensive treatment of statistical process control methods; including unique modern data analysis techniques. Dr. Alwan is a leading figure in this discipline, he has written several papers on the subject and is seen as a pioneer of many "cutting edge" techniques. The text includes a brief history of the quality movement, a review of basic statistics, and then moves into a thorough coverage of control charts and other data analytic techniques for controlling and analyzing processes. Modern techniques are applied to a wealth of real data examples from manufacturing settings as well as services, and Minitab is used throughout the text for analysis. Each chapter includes detailed illustrative examples as well as a complete set of assignment problems.

Product Details

• Hardcover: 768 pages
• Publisher: McGraw-Hill/Irwin; 1 edition (September 17, 1999)
• Language: English
• ISBN-10: 0256119392
• ISBN-13: 978-0256119398
• Product Dimensions: 9.3 x 7.4 x 1.3 inches
• Shipping Weight: 2.8 pounds
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #2,167,098 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

6 of 6 people found the following review helpful:

5.0 out of 5 stars Bit wordy but a must SPC reference, May 14, 2002

By 

Theodore Heder (Detroit, MI) - See all my reviews

This review is from: Statistical Process Analysis (Hardcover)

With dozens of cookie cutter SPC books out there, I was skeptical that Alwan's book would be much different. I was pleasantly surprised. The author spends a great deal of time impressing upon the reader that control charts are potentially useless when processes don't behave like textbook examples. So, there is a data analysis approach taken with time spent on dealing with issues of nonormality and autocorrelation and time patterns. This is pretty different and not found in other SPC books that I have run across.

The time-series analysis is on the elementary level, e.g., using OLS regression to fit an AR(1). The book doesn't go deep into ARIMA models.

There is an interesting discussion on p charts and c charts. Basically, the author is dealing with the issue of overdispersion though he does not say the term. This is not to my knowledge covered in other SPC books but it is clearly an issue in reality.

The chapter on CUSUMs is particularly done well and is quite comprehensive.

If there is one negative point, the book is a bit too wordy to my liking. I think he could have shorten up his prose a bit. But, for folks that are leary of statistics, the extra text might help get the point across.

Most folks will recognize Montgomery's Intro. to Stat. Quality Control as the main player in the field. Given its longer history, I don't think that will change but Alwan's book is definitely an add-on to any decent SPC collection of reference books.

0 of 2 people found the following review helpful:

5.0 out of 5 stars Unique approach to SPC, January 27, 2000

By A Customer

This review is from: Statistical Process Analysis (Hardcover)

This book is great! Through numerous real-world examples, it takes high-level ideas and makes them understandable. I highly recommend this book for anyone using SPC.