Abstract

Control chart is one kind of the most common and effective tools for SPC quality control, however, it is not infallible for ever. The results of actual data processing have proved that the conventional control chart may educe the opposite conclusions to other evaluating methods in some special cases. For solving the above problems, we use Bayes theory to introduce proper ‘correction coefficient’ to amend the control parameters so that the control limit is more accurate and the judgment is more reasonable and reliable.

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