Quickly Identify the Process Behaviour Using Control Charts

Bell curve

No doubt that Process behaviour charts are the life blood source for any process improvement in manufacturing industry or IT industry. there are some quick thumb rules to identify whether the process is behaving as expected or not

Source: Monitor-pro.co.uk

== Steps ==

1. |Example of consistent process behaviour after process shift]]Remember the data points/sample data should have at least 10 to 15 drawn in particular time frame(say weekly or monthly)
2. Identify and isolate the common cause of variation and special cause of variation
   • If your process is well behaving then 90% of the time, your data points always falls with in +/- 3 sigma limits
   • Data points on the mean value is very consistent
3. If you see any trend of 10 or more data points above mean or below mean, then depend on the type of Metric that you are measuring you need to take the context of your measurement.
4. Depend on the type of metric you can decide whether your process is with in its control or any signals existing
5. If you see any trend upward or downward 6 points or more, then definitely it's because of special cause of variation however you need to have thorough analysis in place to confirm the same
   • Common cause of variation also causes sometimes this trend upward and downward
6. If you see these types of trends, then "depend on" the type of Metric you need to recalculate your upper control limit and lower control limits

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