Frontiers in Statistical Quality Control 9

The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2:"Off-line Control".

Includes supplementary material: sn.pub/extras

Contenu
ON-LINE CONTROL Control Charts.- Control Charting Normal Variance #x2013; Reflections, Curiosities, and Recommendations.- Adaptive Charting Techniques: Literature Review and Extensions.- Multivariate Monitoring of the Process Mean and Variability Using Combinations of Shewhart and MEWMA Control Charts.- Quality Control of Manufactured Surfaces.- Statistical Process Control for Semiconductor Manufacturing Processes.- The Max-CUSUM Chart.- Sequential Signals on a Control Chart Based on Nonparametric Statistical Tests.- On the Application of SPC in Finance.- ON-LINE CONTROL Surveillance Sampling and Sampling Plans.- Principles for Multivariate Surveillance.- Research Issues and Ideas on Health-Related Surveillance.- Surveillance Sampling Schemes.- Selective Assembly for Maximizing Profit in the Presence and Absence of Measurement Error.- A New Approach to Bayesian Sampling Plans.- OFF-LINE CONTROL.- Stochastic Modelling as a Tool for Quality Assessment and Quality Improvement Illustrated by Means of Nuclear Fuel Assemblies.- Hierarchical Modeling for Monitoring Defects.- Conformance Analysis of Population Means under Restricted Stratified Sampling.- Data Quality Control Based on Metric Data Models.- The Sensitivity of Common Capability Indices to Departures from Normality.- A Note on the Estimation of Restricted Scale Parameters of Gamma Distributions.- Attractive Quality and Must-be Quality from the Viewpoint of Environmental Lifestyle in Japan.- On Identifying Dispersion Effects in Unreplicated Fractional Factorial Experiments.- Evaluating Adaptive Paired Comparison Experiments.- Approximated Interval Estimation in the Staggered Nested Designs for Precision Experiments.