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Understanding Statistical Process Control (SPC) Charts

Understanding Statistical Process Control (SPC) Charts Introduction This guide is intended to provide an introduction to Statistic Process Control (SPC) Charts . It can be used with the AQuA SPC tool to produce, understand and interpret your own data. For guidance on using the tool see the How to use the AQuA SPC Tool document. This introduction to SPC will cover: Why SPC Charts are useful Understanding variation The different types of SPC Charts and when to use them How to interpret SPC Charts and what action should be subsequently taken 2 Why SPC Charts are useful When used to visualise data, SPC techniques can be used to understand variation in a Process and highlight areas that would benefit from further investigation.

If the process is stable and predicable any variation is known as ‘common cause variation’. A process is ‘in control’ if it only displays common cause variation. Special cause If the process is unstable or ‘out of control’ any variation is known as ‘special cause variation’. This means that it is not an inherent part of the process.

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