Error Limits on Collected Data#

A manufacturing process translates a set of operations that aim to transform raw materials into a finished product that closely meets its specifications. However, each product parameter can be influenced by various process variables that often change over time. To maintain process stability and minimize product quality variation, it is essential to implement quality checks throughout the production flow. By continuously monitoring key parameters, it becomes easier to detect trends that may lead to deviations.

Hence, Data Collections and Protocols work together to help setting process rules and ensure that systemic sample data collection force operational procedure execution in case of deviation.

In the video below you can see how to configure a Protocol to be executed when the value of a given parameter does not comply with the range configured.