Control rule violations
- Last UpdatedNov 04, 2024
- 1 minute read
Control rules are used to identify and reduce the non-random variability within a process. You can configure one or more control rules for a specification that is linked to one or more characteristics, which are applied if the severity for the characteristic is Non-Key, Key, or Critical.
Control rules are validated when
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An individual reading for a characteristic is recorded in the MES database.
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Rule violations, if any, are reported as a warning message to the client.
The control rules are evaluated against a characteristic that is linked to a most recent sample.
Control rules are not evaluated or validated against a characteristic that is linked to a sample whose sample time is in the past and is not the most recent sample for the characteristic.
Related Links
- Understand validating control rule violations
- Understand logging control rule violations
- Standard rules and calculation types
- Applicable control rules for a chart
- Storing control rules internally
- Automatically calculating standard mean and standard deviation from data
- Computing from standard values
- Using preset values