An Overview of Control Charts for High-quality Processes
Author:
Affiliation:
1. Department of Decision Sciences; Bocconi University; via Roentgen 1 Milan 20136 Italy
2. CNR-IMATI; via Bassini 15 Milan 20133 Italy
3. Institute for Applied Mathematics and Statistics; University of Würzburg; Würzburg Germany
Publisher
Wiley
Subject
Management Science and Operations Research,Safety, Risk, Reliability and Quality
Reference165 articles.
1. Cumulative probability control charts for geometric and exponential process characteristics;Chan;International Journal of Production Research,2002
2. A comparison of normal approximation rules for attribute control charts;Emura;Quality and Reliability Engineering International,2015
3. Statistical Models and Control Charts for High-Quality Processes
4. Some current directions in the theory and application of statistical process control;Woodall;Journal of Quality Technology,2014
5. The optimal choice of negative binomial charts for monitoring high quality processes;Albers;Journal of Statistical Planning and Inference,2010
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