Intro; Preface; Part I: Statistical Process Control; Part II: Design of Experiments; Part III: Related Areas; To the Memory of Elart von Collani; Contents; Contributors; Part I Statistical Process Control; Phase I Distribution-Free Analysis with the R Package dfphase1; 1 Introduction; 2 Why Distribution-Free Methods in Phase I?; 3 Distribution-Free Phase I Control Charts: A Brief Review; 4 The dfphase1 Package; 5 An Example; 5.1 Description of the Data; 5.2 Phase I Analysis; 6 Conclusions; References.
1 Introduction2 One-Sided CUSUM-Shewhart Chart; 2.1 Examples for One-Sided Designs; 3 Two-Sided Case; 3.1 Examples for Two-Sided Designs; 4 Conclusions; Appendix 1: Collocation Design for More Than r=2 Intervals; Appendix 2: Two-Sided CUSUM Chart; References; Optimal Design of the Shiryaev-Roberts Chart: Give Your Shiryaev-Roberts a Headstart; 1 Introduction; 2 The Shiryaev-Roberts Chart, Its Properties and Optimization; 3 Experimental Results; 4 Concluding Remarks; References; On ARL-Unbiased Charts to Monitor the Traffic Intensityof a Single Server Queue; 1 Introduction.
1.1 Three Control Statistics: Xn, n and Wn1.2 Xn and the M/G/1 System; 1.3 n and the GI/M/1 System; 1.4 Wn and the GI/G/1 System; 1.5 On the Probability of Null Values of the Control Statistics; 2 Detecting Upward and Downward Shifts in the Traffic Intensity; 2.1 Three Upper One-Sided Charts for the Traffic Intensity; 2.2 A Brief Review of ARL-Unbiased Charts; 2.3 Deriving ARL-Unbiased Charts for the Traffic Intensity; 3 Preliminary Results; 3.1 M/G/1 Queueing System; 3.2 GI/M/1 Queueing System; 3.3 GI/G/1 Queueing System; 3.4 Mixed vs. Discrete Control Statistics; 4 Conclusion; Appendix.
Assessment of Shewhart Control Chart Limits in Phase I Implementations Under Various Shift and Contamination Scenarios1 Introduction; 2 Phase I Application of Control Charts; 3 x and s Control Charts; 4 Phase I Simulations Using Shewhart Control Charts; 5 Results of Simulations; 6 MSE Optimal and Robust L Values for Phase I Charts; 7 Conclusions; Appendix 1: Average Number of Iterations for the Cases of c = 8%; Appendix 2: True Alarm Percentages for the Cases of c = 8%; Appendix 3: Mean Square Errors for the Cases of c = 8%; References; New Results for Two-Sided CUSUM-Shewhart Control Charts.
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This book provides insights into important new developments in the area of statistical quality control and critically discusses methods used in on-line and off-line statistical quality control. The book is divided into three parts: Part I covers statistical process control, Part II deals with design of experiments, while Part III focuses on fields such as reliability theory and data quality. The 12th International Workshop on Intelligent Statistical Quality Control (Hamburg, Germany, August 16 - 19, 2016) was jointly organized by Professors Sven Knoth and Wolfgang Schmid. The contributions presented in this volume were carefully selected and reviewed by the conference's scientific program committee. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of quality control.--