In process qualification or Long-Term Analyses, the respective characteristics are measured in measurement processes. The results are transferred to a recording system or an SPC system (e.g. procella). In order to get a holistic view, the data must be structured, saved to and administered in a central data pool. Then, you can load data from the data pool regularly or set an event-controlled loading. The data to be loaded is chosen according to different selection criteria and can be evaluated later on. Use predefined reports in order to inform the respective persons involved.
Error
| The data recorded in the measurement process is not representative (e.g. operators forgot to take a measurement after the change of shift or after the break). |
Consequence
| The recorded data does not reflect the actual situation. There is the risk that the deviations will not be recognized in time. Thus, the results of the statistical evaluation might be wrong. |
Solution
| At first, record data at frequent intervals over a longer period of time. Deviations will be recognized immediately and can be eliminated by taking corrective actions. Operators should be advised of the forthcoming measurements. Find more information about samplings in the book called “Statistical Procedures for Machine and Process Qualification“ or in the Daimler guideline LF1236. |
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