Statistical Analysis of Profile Monitoring
Gebonden Engels 2011 9780470903223Samenvatting
A one–of–a–kind presentation of the major achievements in statistical profile monitoring methods
Statistical profile monitoring is an area of statistical quality control that is growing in significance for researchers and practitioners, specifically because of its range of applicability across various service and manufacturing settings. Comprised of contributions from renowned academicians and practitioners in the field, Statistical Analysis of Profile Monitoring presents the latest state–of–the–art research on the use of control charts to monitor process and product quality profiles. The book presents comprehensive coverage of profile monitoring definitions, techniques, models, and application examples, particularly in various areas of engineering and statistics.
The book begins with an introduction to the concept of profile monitoring and its applications in practice. Subsequent chapters explore the fundamental concepts, methods, and issues related to statistical profile monitoring, with topics of coverage including:
Simple and multiple linear profiles
Binary response profiles
Parametric and nonparametric nonlinear profiles
Multivariate linear profiles monitoring
Statistical process control for geometric specifications
Correlation and autocorrelation in profiles
Nonparametric profile monitoring
Throughout the book, more than two dozen real–world case studies highlight the discussed topics along with innovative examples and applications of profile monitoring. Statistical Analysis of Profile Monitoring is an excellent book for courses on statistical quality control at the graduate level. It also serves as a valuable reference for quality engineers, researchers and anyone who works in monitoring and improving statistical processes.
Specificaties
Lezersrecensies
Inhoudsopgave
<p> Contributors xi</p>
<p> 1 Introduction to Profile Monitoring 1</p>
<p> Introduction, 1</p>
<p> 1.1 Functional Relationships Qualified as Profiles, 6</p>
<p> 1.2 Functional Relationships not Qualified as Profiles, 13</p>
<p> 1.3 Structure of This Book, 15</p>
<p> References, 19</p>
<p> 2 Simple Linear Profiles 21</p>
<p> Introduction, 21</p>
<p> 2.1 Phase I Simple Linear Profile, 22</p>
<p> 2.2 Phase II Simple Linear Profile, 53</p>
<p> 2.3 Special Cases and an Important Application, 74</p>
<p> 2.4 Diagnostic Statistics, 77</p>
<p> 2.5 Violation of the Model Assumptions, 81</p>
<p> Appendix, 83</p>
<p> References, 89</p>
<p> 3 Multiple Linear and Polynomial Profiles 93</p>
<p> Introduction, 93</p>
<p> 3.1 Monitoring Multiple Linear Profiles, 94</p>
<p> 3.2 Monitoring Polynomial Profiles, 108</p>
<p> References, 116</p>
<p> 4 Binary Response Profiles 117</p>
<p> Introduction, 117</p>
<p> 4.1 Model Setting and Parameter Estimation, 118</p>
<p> 4.2 Phase I Control, 120</p>
<p> 4.3 Phase II Monitoring, 122</p>
<p> 4.4 Applications, 123</p>
<p> 4.5 Conclusions, 126</p>
<p> References, 128</p>
<p> 5 Parametric Nonlinear Profiles 129</p>
<p> Introduction, 129</p>
<p> 5.1 Nonlinear Model Estimation, 130</p>
<p> 5.2 Phase I Methods, 132</p>
<p> 5.3 Phase II Methods, 142</p>
<p> 5.4 Variance Profiles, 145</p>
<p> Appendix, 154</p>
<p> References, 155</p>
<p> 6 Nonparametric Nonlinear Profiles 157</p>
<p> Introduction, 157</p>
<p> 6.1 Model Formulation and Nonparametric Example, 159</p>
<p> 6.2 Splines, 162</p>
<p> 6.3 Component Analysis, 170</p>
<p> 6.4 Wavelets, 174</p>
<p> References, 187</p>
<p> 7 Multivariate Linear Profiles Monitoring 189</p>
<p> Introduction, 189</p>
<p> 7.1 Monitoring Multivariate Simple Linear Profiles, 190</p>
<p> 7.2 Monitoring Multivariate Multiple Linear Profiles, 204</p>
<p> References, 216</p>
<p> 8 Statistical Process Control for Geometric Specifications 217</p>
<p> Introduction, 217</p>
<p> 8.1 Examples of Geometric Feature Concerning Circularity, 221</p>
<p> 8.2 Control Charts for Profile Monitoring, 224</p>
<p> 8.3 Simple Approaches for Monitoring Manufactured Profiles: The Industrial Practice, 233</p>
<p> 8.4 Performance Comparison, 237</p>
<p> 8.5 Moving from 2D Profiles to 3D Surfaces, 245</p>
<p> 8.6 Concluding Remarks, 249</p>
<p> Acknowledgments, 250</p>
<p> References, 250</p>
<p> 9 Correlation and Autocorrelation in Profiles 253</p>
<p> Introduction, 253</p>
<p> 9.1 Methods for WPA for Linear Models, 255</p>
<p> 9.2 Methods for BPC for Linear Models, 257</p>
<p> 9.3 Methods for WPA and BPC for Other (Nonlinear) Models, 258</p>
<p> 9.4 Phase I Analysis, 259</p>
<p> 9.5 Phase II Analysis, 262</p>
<p> 9.6 Related Issues: Rational Subgrouping and Random Effects, 263</p>
<p> 9.7 Discussion and Open Questions, 266</p>
<p> Acknowledgment, 267</p>
<p> References, 267</p>
<p> 10 Nonparametric Profile Monitoring 269</p>
<p> Introduction, 269</p>
<p> 10.1 Monitoring Profiles Based on Nonparametric Regression, 270</p>
<p> 10.2 Nonparametric Profile Monitoring Using Change–Point Formulation and Adaptive Smoothing, 281</p>
<p> 10.3 Nonparametric Profile Monitoring by Mixed–Effects Modeling, 288</p>
<p> Appendix A: Approximate the Distributions of Quadratic Forms Like zT Az, 299</p>
<p> Appendix B: The Expression of lrt,k in Model (10.8), 300</p>
<p> References, 301</p>
<p> Index 303</p>
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