Introduction to Statistical Quality Control"This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts. and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of situations. Although statistical techniques are emphasized. throughout, the book has a strong engineering and management orientation. Extensive knowledge. of statistics is not a prerequisite for using this book. Readers whose background includes a basic course in statistical methods will find much of the material in this book easily accessible"-- |
Contents
c01_eval | 1 |
c02_eval | 2 |
c03_eval | 4 |
c04_eval | 9 |
c05_eval | 18 |
c06_eval | 21 |
c07_eval | 35 |
c08_eval | 45 |
c09_eval | 50 |
c10_eval | 53 |
c11_eval | 58 |
c12_eval | 61 |
c13_eval | 63 |
c14_eval | 68 |
c15_eval | 73 |
c16_eval | 75 |
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Common terms and phrases
10in Montgomery8e Ac Re Ac adjustment applications approximately assignable causes autocorrelation binomial calculate center line CHAPTER components computed confidence interval Consider control chart control limits cost CUSUM degrees of freedom designed experiments discussed DMAIC engineering equation error estimate EWMA control chart example factorial design factors fraction defective fraction nonconforming hypothesis in-control inspection interaction manufacturing Measurement System methods Minitab moving range normal distribution normal probability plot number of nonconformities observations OC curve operating out-of-control output P-value parameters performance points Poisson distribution procedure process mean process monitoring process variables quality characteristic quality improvement random variable regression model residuals Sample number sampling plan Shewhart Shewhart control chart shift shown in Figure Six Sigma specification limits standard deviation statistical control Statistical Process Control subgroups supplier Suppose three-sigma Trim type I error units usually x₁