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Acceptance Sampling: LTPD and AQL
Acceptance sampling
is an
important aspect of statistical quality control. It originated back in
World War II when the military had to determine which batches of ammunition
to accept and which ones to reject. They knew that they couldn't test
every bullet to determine if it will do its job in the field. On
the other hand, they had to be confident that the bullets they're
getting will not fail when their lives are already on the line.
Acceptance sampling was the answer - testing a few representative
bullets from the lot so they'll know how the rest of the bullets will
perform.
Acceptance
sampling is a compromise between not doing any
inspection at all and 100% inspection. The scheme by which
representative samples will be selected from a population and tested
to determine whether the lot is acceptable or not is known as an
acceptance plan
or
sampling plan. There are two major
classifications of acceptance plans: based on attributes ("go,
no-go") and based on variables.
Sampling plans can be single, double or multiple. A
single sampling plan for attributes consists of a sample of size n
and an acceptance number c. The procedure operates as
follows: select n items at random from the lot. If the number of defectives
in the sample set is less than c, the lot is accepted.
Otherwise, the lot is rejected.
In
order to measure the performance of an acceptance or sampling plan,
the Operating Characteristic (OC) curve is used. This curve plots the
probability of accepting the lot (Y-axis) versus the lot fraction or
percent defectives.
LTPD
- Lot Tolerance Percent Defective
The LTPD can be determined using the operating
characteristic (OC) curve by finding that quality level on the bottom
axis that corresponds to a probability of acceptance of 0.10 (10%) on
the left axis.
Table 1. LTPD Sampling Table based on the Mil-S-19500 and Mil-M-38510
Minimum Sample Size Needed
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