Sunday, March 27, 2011

Measurement Error at Nuke Disaster

Here is another "ah ha" moment. Earlier this week officials in Japan reported a radiation spike at the Fukashima nuclear plant that caused workers to flee and international alarm. Today the officials reported that the data was a mistake:

"The number is not credible," said Tokyo Electric Power Co. spokesman Takashi Kurita. "We are very sorry."


How often does this happen in normal factory operations? During PPAP or other quality data reviews we often see odd or out of place data. Sometimes the error is due to simple transposition or data entry errors. Sometimes the data is taken in an incorrect way. So, what to do?
First, data that looks out of place, or extreme, should be reviewed immediately. If the data is correct, then react appropriately. The point here is to treat unexpected data urgently. Verify it. If it is true you are going to want to problem solve it. If the data is wrong you want to correct it as close to the time it was taken to be able to capture the samples and avoid costly inappropriate response.

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