What is most likely to happen to a process operating at 6 Simga? - ProProfs Discuss
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What is most likely to happen to a process operating at 6 Simga?



A. We can expect 3.2 defects per million opportunities
B. It has a yield of 99.997%
C. We can expect 3.4 defects per million opportunities
D. It has a yield of 99.9967%

This question is part of Six Sigma Green Belt Exam
Asked by PracticeExcellence, Last updated: Mar 12, 2018

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5 Answers

B.Jason

B.Jason

Answered on Apr 20, 2018

We can expect 3.4 defects per million opportunities.
.4 ppm means that the opportunities or likelihood that the product/process will fail is 3.4 in a million. like for an instance when you bought a single lottery ticket. the chances of winning is only 3.4 out in a million or 0.00034%. in terms of defects the chances that the single product/process fails is only 3.4 out in a million. it is totally different of saying that producing one million parts you are expecting 3.4 defects which a lot of people misinterpret.

If the DPMO figure was factual data, and not the random value i came up with for my perfect example, would it be safe to say, that a computerized production line that printed Colorado Lottery Scratch Game Tickets, did so with a 3.1DPMO, and level 6 excellent, and not just of good quality. and then add that this game not only looks beautiful but it also has a 1:5 overall winning odds, then odds of winning a top prize jackpot is a 1.8 ppm. is it safe to compare the ppm to DPMO, cause id say the printing process is extremely flawed if the DPMO exceeded the ppm of odds of winning yop prizes. if theres the chance that the defectedtickets that didnt print could actuallt be the top prize winners, and change the odds of winning to odds of losing.

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Hamzah

Hamzah

Answered on Nov 24, 2017

We can expect 3.4 defects per million opportunities,It has a yield of 99.9967%

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paris_gorill

Paris_gorill

Answered on Feb 12, 2017

We can expect 3.4 defects per million opportunities, It has a yield of 99.997%
 Reply

minaxis

Minaxis

Answered on Jan 27, 2017

2.It has a yield of 99.997%
 Reply

John Smith

John Smith

Answered on Dec 21, 2016

We can expect 3.4 defects per million opportunities
 Reply

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