Enter lot size, inspection level and AQL to find how many units to sample, how many defects to accept and the real risk of accepting bad lots or rejecting good ones.
Pre-sizing and estimating tool: results do not replace design, calculations or reports signed by a licensed professional, nor verification against the applicable codes and standards.
Tables II-A (normal), II-B (tightened) and II-C (reduced), with arrows already resolved.
Probability of accepting the lot versus true quality. Points: AQL (producer’s risk) and limiting quality (consumer’s risk).
With 100% screening of rejected lots. The peak of the curve is the AOQL.
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At general level II the code letter is K: 125 units. With AQL 1.0 on normal inspection, accept the lot with up to 3 nonconforming and reject with 4.
When a cell has no plan, the arrow points to the first plan available below or above. Use that plan’s sample size, not the one of the original letter.
No. It is the worst average tolerated over a series of lots. With plan 125/3/4, a lot with 5% defects still passes about 12% of the time; the OC curve shows the real risk.
When 2 of 5 consecutive lots are rejected on normal. Return to normal after 5 consecutive lots are accepted on tightened.
Important notice: Indus Metrics tools produce estimates and pre-sizing results from the data you enter and from published engineering methods. They do not replace design, calculations or reports signed by a licensed professional engineer (PE), nor verification against the applicable codes, standards and regulations, such as OSHA rules and the ASME codes. Material and fuel properties vary: check manufacturer data or your own process analyses before deciding. By using this site you agree to the Terms of Use.
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