Frontiers in Statistical Quality Control 8

ISBN-13: 9783790816860 / Angielski / Miękka / 2006 / 351 str.

H. Lenz; Hans-Joachim Lenz; Peter-Theodor Wilrich

Opis

This volume treats the three main categories of Statistical Quality Control: General Aspects of SQC Methodology, On-line Control including Sampling Plans, Control Charts and Monitoring, and Off-line Control including Data Analysis, Calibration and Experimental Design. Experts with international reputation present their newest contributions.

Spis treści

General Aspects of SQC Methodology.- How Some ISO Standards Complicate Quality Improvement.- On-line Control.- Optimal Two-Stage Sequential Sampling Plans by Attributes.- Three-Class Sampling Plans: A Review with Applications.- CUSUM Control Schemes for Multivariate Time Series.- The Art of Evaluating Monitoring Schemes — How to Measure the Performance of Control Charts?.- Misleading Signals in Joint Schemes for ? and ?.- The Fréchet Control Charts.- Reconsidering Control Charts in Japan.- Control Charts for the Number of Children Injured in Traffic Accidents.- A New Perspective on the Fundamental Concept of Rational Subgroups.- Economic Advantages of CUSUM Control Charts for Variables.- Choice of Control Interval for Controlling Assembly Processes.- Generalization of the Run Rules for the Shewhart Control Charts.- Robust On-Line Turning Point Detection. The Influence of Turning Point Characteristics.- Specification Setting for Drugs in the Pharmaceutical Industry.- Monitoring a Sequencing Batch Reactor for the Treatment of Wastewater by a Combination of Multivariate Statistical Process Control and a Classification Technique.- Off-line Control.- Data Mining and Statistical Control - A Review and Some Links.- Optimal Process Calibration under Nonsymmetric Loss Function.- The Probability of the Occurrence of Negative Estimates in the Variance Components Estimation by Nested Precision Experiments.- Statistical Methods Applied to a Semiconductor Manufacturing Process.- An Overview of Composite Designs Run as Split-Plots.