Understanding the Uses of Data Employee Data Collection Training 11/14/2011 1.

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Presentation transcript:

Understanding the Uses of Data Employee Data Collection Training 11/14/2011 1

Agenda Statistical Process Control Control Chart P-Chart C-Chart Mean-Chart R-Chart Conclusion References 11/14/2011 2

Statistical Process Control Improves the production processes Improves services Manage quality with SPCs Use Charts to plot data Measure product quality Attributes Variables Samples sizes matter Accurate Timely Relevant 11/14/2011 3

Control Chart Create control charts to plot data Control charts monitor processes Control limits Upper limit Lower limit Tolerances Can be used in every business Four types of control charts P-chart C-chart Mean-chart R-chart 11/14/2011 4

P-Chart Is a chart for attributes Formula uses a proportion or percentage Large sample size 11/14/ (Six Sigma Material, 2011)

C-Chart 11/14/ Is a chart for attributes Formula uses actual number of defects Single sample size (Abilla, 2010)

Mean-Chart Is a chart for variables Formula uses the sample means Sample size of five 11/14/ (Creative Commons Attribution, 2011a)

R-Chart 11/14/ Is a chart for variables Formula uses the sample ranges Sample size is at least two (Creative Commons Attribution, 2011b)

Conclusion SPCs Improve Quality Control Charts Monitor Processes Attribute Charts P-Chart C-Chart Variables Charts Mean-Chart R-Chart Use Mean & R-Chart Together 11/14/2011 9

Reference Abilla. (2010, August 21). Example c-chart. Retrieved from Creative Commons Attribution. (2011a, January 11). Mean chart. Retrieved from excel-done.htmlhttp://blog.excelmasterseries.com/2011/01/spc-control-charts-in- excel-done.html Creative Commons Attribution. (2011b, January 11). Range chart. Retrieved from excel-done.htmlhttp://blog.excelmasterseries.com/2011/01/spc-control-charts-in- excel-done.html Russell, R. S., & Taylor, B. W. (2009). Operations management: Creating value along the supply chain (6th ed.). Hoboken, NJ: Wiley. Six Sigma Material. (2011). P-Chart of defectives. Retrieved from /14/