![]() ![]() => monthly PPM: ? (0?) monthly PPM: ? (0?) monthly PPM: ? (0?)To me these figures mean nothing: we can’t really act on them.Even using a sliding window and using the sum of received items and defective items over say the last 12 months would show large variations in the PPM.I thought that a more informative way of using PPM would be to use the overall historical amount of parts received/defective from this supplier and recalculate that value very month. The current calculation is based on the monthly volume of parts delivered by a given supplier and the volume of defective parts (either found during incoming inspection or later during production).What bugs me is that supplier deliveries vary a lot month-to-month and defects may be found in the following months only.The issue of course is that if we only consider monthly volumes of received/defective parts we get PPMs that are all over the place, for instance:JAN2009: Hi,I’m having an issue with PPM calculation for defective parts received from supplier.
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