Product Description

Ellis Ott taught generations of quality practitioners to be explorers of the truth through the collection and graphical portrayal of data. From a simple plea to "plot the data" to devising a graphical analytical tool called the analysis of means (ANOM), Ott demonstrated that process knowledge is to be gained by seeking the information contained within the data.

In this newest version of Ott's classic text, the authors have strived to continue down the path that he created for others to follow. Additions to this revised edition include: the use of dot plots as an alternative to histograms; digidot plots; adding events to charts; emphasis on the role that acceptance control charts play in controlling risks and the computation of average run length (ARL); a new chapter devoted to process capability, process performance, and process improvement, including the use of confidence intervals for process capability metrics; narrow-limit gauging as another means of assessing the capability of a process; Six Sigma methodology; design resolution; scatter plot matrices as applied to datasets of higher dimensions; and a new chapter on measurement studies.

The CD-ROM includes many papers on ANOM and ANOME published in the Journal of Quality Technology, as well as a comprehensive Excel add-in for performing these analyses and freeware versions of some useful graphing and statistical utilities.

Product Details

• Amazon Sales Rank: #871489 in Books
• Published on: 2005-03-01
• Original language: English
• Dimensions: .3 pounds
• Binding: Paperback
• 672 pages

Book Info
Demonstrates how to collect, crunch, and analyze data, step by step. Provides examples of real-world applications used to solve tough questions. DLC: Quality control--Statistical methods.

From the Back Cover
"Full of numerous case studies that give insight into the kind of detailed process sleuthing that process capability studies are all about ... it should be a part of every serious quality practitioner's library."

--Bert Gunter in Quality Progress Magazine* Want to design fail-safe methods for finding and solving problems in complex processes? Discover new ways to coax answers from complicated data? Uncover hidden value in perplexing findings? If you want the most sophisticated and insightful approach to process sleuthing and process capability available, you've come to the right place. Packed with case studies drawn from real industrial processes, Process Quality Control demonstrates how to collect, crunch, and analyze data, step by step. Along the way, it gives you examples of successful, real-world applications used to solve tough questions. This book can help you: Learn time-tested troubleshooting methodologies. Discover better ways to gather, interpret and analyze data. Correctly interpret findings with time-ordered data. Resolve difficult, puzzling, or conflicting results with proven methods. Gain new insight in the analysis of attributes and variables data. Employ newer methods of analysis to maximize the information from your data. Draw problem-solving solutions from the identification of outliers in data. Apply graphical analysis to experimental designs. For anyone charged with discovering problems in processes, or suggesting improvements, there could be no more worthwhile--or inspiring--reading than Ellis Ott's, Edward G. Schilling's, and Dean V. Neubauer's Process Quality Control.