The Process Variability and Analysis Tutorial will provide background knowledge of the techniques usedrnto troubleshoot process problems, improve performance and reduce the variability of processes. Topics tornbe covered include:rn1. Acquisition and validation of process data using process historians, lab quality data systems and directrndata acquisition techniquesrn2. Specialized sensors that are useful in diagnosing paper machine related process problemsrn3. Useful data analysis tools, such as time series analysis (power spectrum, auto/cross correlation) andrnstatistics that help characterize process variabilityrn4. How to interpret the process data to identify root causes and process improvement potentialrn5. How to quantify the "value" of the potential process improvement and justify project costs.
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