This book is an introduction to statistical methods used in monitoring, controlling and improving quality. It is suitable for a one-semester undergraduate course emphasizing statistical quality control for engineering majors, or a supplemental text for a graduate engineering course that included quality control topics.
This book is an introduction to statistical methods used in monitoring, controlling and improving quality. It is suitable for a one-semester undergraduate course emphasizing statistical quality control for engineering majors, or a supplemental text for a graduate engineering course that included quality control topics.
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.
Inhaltsangabe
1. Introduction to Historical Background. 2. Attribute Sampling Plans. 3. Variables Sampling Plans. 4. Shewart Control Charts in Phase. 5. DoE for Quality Improvement and Troubleshooting. 6. Time Weighted Control Charts in Phase II.
1. Introduction to Historical Background. 2. Attribute Sampling Plans. 3. Variables Sampling Plans. 4. Shewart Control Charts in Phase. 5. DoE for Quality Improvement and Troubleshooting. 6. Time Weighted Control Charts in Phase II.
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