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The 7 Most Frequent Errors in
SPC (Preview)

With the help of SPC (Statistical Process Control), processes are controlled in respect of deviations from target values and significant changes on the operator level. Due to capable measurement processes, specified characteristics are measured. Individual value charts, parts protocols or quality control charts display the results. The target values depend on the selected task.

Either the process lies within the selected control limits or, in the simplest case, it lies inside n % of the tolerance. In case of deviations, the operator is informed and can take corrective actions.For an easy recording of measurement results and of additional data, the operator needs an entry mask specific to the selected task containing all required data fields. These fields should be filled in automatically (e.g. using bar codes and the real-time data transfer of the measurement values). Thestandard for data contents can be found in catalogs.

 

Error

The default quality control chart is not appropriate to the process of the monitored procedure or does not meet the requirements of the task. Otherwise the control limits are too narrow or you have chosen the wrong stability conditions.

Consequence

Either the process control becomes too “sensitive“ (unnecessary notification of operators). The operator always receives needless error messages and cannot take appropriate corrective actions. This deters him from his work. He becomes frustrated and refuses this tool. Or the control is too “vague”. Significant  deviations may be overlooked.

Solution


Select the SPC quality control chart only after a comprehensive process analysis (pre-run / similar process) according to DIN ISO 21747. qs-STAT determines the appropriate, time-dependent distribution model automatically. On the basis of this model, the corresponding quality control chart including the right control limits and stability conditions is proposed.

Registrierted Users can see all Errors/Consequences and Solutions.

 

 

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