Abstract
A problem with the conventional Shewhart charts is that the decisions are usually based on single observations. Such decision implies a high probability of false alarms. Also, small shifts in the process characteristics, which are of increasing importance from the point of view of efforts for continuous quality improvement, cannot be detected easily. Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) charts are widely recommended. Although they are developed preliminary for variable data, several authors have investigated their properties for attribute data for which the CCC chart is related to.
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© 2002 Springer Science+Business Media New York
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Xie, M., Goh, T.N., Kuralmani, V. (2002). CUSUM and EWMA Procedures. In: Statistical Models and Control Charts for High-Quality Processes. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1015-4_7
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DOI: https://doi.org/10.1007/978-1-4615-1015-4_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5352-2
Online ISBN: 978-1-4615-1015-4
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