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Statistical process control charts, specifically ewma (exponentially weighted moving average) and cusum (cumulative sum) charts, applied to temperature control in coffee roasting. It includes data tables and graphs illustrating the application of these charts to monitor and manage temperature variations. A practical example of how statistical methods can be used to improve process stability and reduce variability in industrial settings. It is useful for understanding the implementation and interpretation of control charts in quality control and process optimization. The document also shows how to calculate control limits and interpret the data points in relation to these limits, providing a clear understanding of process behavior and potential areas for improvement. A valuable resource for students and professionals in statistics, engineering, and quality management.
Typology: Exercises
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