1st Edition

An Introduction to Acceptance Sampling and SPC with R

By John Lawson Copyright 2021
298 Pages 102 B/W Illustrations
by Chapman & Hall

298 Pages 102 B/W Illustrations
by Chapman & Hall

298 Pages 102 B/W Illustrations
by Chapman & Hall

An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process... Read more
1. Introduction and Historical Background
2. Attribute Sampling Plans
3. Variables Sampling Plans
4. Shewhart Control Charts in Phase I
5. DoE for Troubleshooting and Improvement
6. Time Weighted Control Charts in Phase II
7. Multivariate Control Charts
8. Quality Management Systems

Biography

John Lawson is a Professor Emeritus from the Statistics Department at Brigham Young University where he taught from 1986-2019. He is an ASQ-CQE and he has a Masters Degree in Statistics from Rutgers University and a PhD in Applied Statistics from the Polytechnic Institute of N.Y. He worked as a statistician for Johnson & Johnson Corporation from 1971 to 1976, and he worked at FMC Corporation Chemical Division from 1976 to 1986 where he was the Manager of Statistical Services. He is the author of Design and Analysis of Experiments with R, CRC Press, and the co-author (with John Erjavec) of Basic Experimental Strategies and Data Analysis for Science and Engineering, CRC Press.

"In conclusion, among the few books that illustrate R for SQC, this book best uses the broadest range of state-of-the-art R packages. This breadth and up-to-date nature alone would make this book the top choice for those who want to use R for SQC. Technical discussions in the book are well-grounded in both statistical theories and in-depth knowledge of SQC practice. This book is an excellent addition to any quality engineer’s library."

Youngjun Choe, University of Washington, Journal of the American Statistical Association, Vol. 117 Issue 537, 24th March 2022.