Statistical Process Control
involves using statistical methods to monitor
processes. Statistical Process Control may be
applied to processes in many industries including
healthcare, finance and manufacturing.
All processes are subject to variation. Statistical
Process Control uses statistical methods to:
- ensure that the process is stable. This often
involves confirming that the process output
characteristics conform to a normal distribution
with parameters that are constant over time.
- using statistical methods to monitor the
processes for timely identification of 'special
causes' that indicate a change in the statistical
parameters
The main tools of SPC include control charts
and Process Capability Studies.
Control charts are used to monitor
the output of a process. They are used to give
timely warning of 'special causes' entering the
process. They generally monitor either the process
mean, the process variation, or a combination
of both.
Types of control chart include:
- X-Bar & R Control Charts U Charts
- X-Bar & S Control Charts CuSum Charts
- ImR (Individual Moving Range) Control Charts
Tabular Cusum Charts
- Median Control Charts CuSum V Mask
- Given Value Control Charts Moving Average
Control Charts
- p Control Charts EWMA Control Charts
- np Control Charts
- c Control Charts
- u Control Charts
Process Capability is a method
used to demonstrate that a process is 'capable'
of achieving the required specifications. Process
Capability is measured using the indices Cp and
Cpk.
For more information follow the link for Statistical
Process Control in MiC
Quality Six Sigma Glossary.
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