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Statistical Case Studies for Industrial Process Improvement (ASA-SIAM Series on Statistics and Applied Probability) Paperback – 1997

ISBN-13: 978-0898713947 ISBN-10: 0898713943 Edition: Pap/Cas

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Product Details

  • Series: ASA-SIAM Series on Statistics and Applied Probability (Book 1)
  • Paperback: 542 pages
  • Publisher: Society for Industrial and Applied Mathematics; Pap/Cas edition (1997)
  • Language: English
  • ISBN-10: 0898713943
  • ISBN-13: 978-0898713947
  • Product Dimensions: 6 x 0.8 x 9 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #2,547,503 in Books (See Top 100 in Books)

Editorial Reviews

Review

'A wonderful collection of superbly documented industrial statistical experiences ... This book will inspire experienced researchers. Beginners, in addition, will learn a good deal about statistical techniques for industrial problem solving.' Lloyd S. Nelson, Journal of Quality Technology

' ... A good investment for those who are directly involved in the study or application of statistical methods.' George G. R. Maharage, Manufacturing Engineer

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1 of 1 people found the following review helpful By Cubbison on January 6, 2013
Format: Paperback Verified Purchase
Bought only to prove that capability testing cannot be performed on destructive testing as you have no way to gage repeatability. Worked for that, although client still wants to run capability on destructive test samples.
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Format: Paperback Verified Purchase
This classic set of case studies from manufacturing rather than services has become a proven way to trigger re-characterization of older factory machines, processes, metrology systems, (as well as newer factories,) using proven industrial methods. The software in those days (RS/1 from BBN) ran on old VMS operating system, but was years ahead of other statistical methods software in its use of Graphical Analysis Methods, with firm foundation in classical and robust industrial statistics.

[Over time, the server operating systems have gotten less robust (VMS is alive and well) but personal computers were invented, then web-enabled analysis tools, and modern software can finally perform the best graphical methods, with higher speed, in spite of weaker OS's due to the micro-chip revolution that resulted from engineers using the methods found in this book! The "cloud" will take all that analysis capability to the next level.]

These case studies will remain useful in learning how real factories can be created or made more robust, precise and efficient.

Boring stuff for those that given up on manufacturing, perhaps.
But amazingly, big banks are hiring statistically-trained engineers to design experiments and analyze data just like they did in these industrial cases.

Manufacturing is now global, with serious supply chain logistical problems, but also serious sub-contractor manufacturing problems that require statistical methods like those in this book, with analysis shared globally. The only thing that has changed, is the productivity in engineering due to broader understanding of basic methods pioneered in high technology manufacturing of the 1980's and beyond, WHEREVER real work happens.
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