Supplement
G Acceptance Sampling Plans
1. Acceptance Sampling Quality and Risk Decisions
Acceptance sampling; Definition and purpose
o Impact of TQM
Basic procedure
Key terms
o Producer
o Consumer
o Sampling plan
Quality and risk decisions
o Acceptable quality level (AQL)
Producer’s risk (
)
o Lot tolerance proportion defective (LTPD)
Consumer’s risk (
)
2. Sampling Plans
1. Single-sampling plans (for attributes)
Specified by sample size, n, and acceptable number of defectives, c, found in that
sample.
Single-sampling procedure for determining whether to accept a lot:
The risks
2. Double-sampling plan
Specified by two sample sizes, (
n1
and
n2
), and two acceptance numbers (
c1
and
c2
).
Procedure for determining whether to accept a lot:
3. Sequential-sampling plan
Results of random samples, tested one-by-one, are compared to sequential-sampling
chart.
Chart guides decision to reject, accept, or continue sampling.
3. Operating Characteristic Curves
Select sample size n and acceptance number c.
1. Drawing the OC curve
a Each item inspected is either defective or not defective (binomial).
b When n > 20 and p < 0.05, use Poisson distribution to prepare (OC) curve. It shows the
probability of accepting a lot
P
a
, as a dependent function of p, the true proportion of
defectives in the lot.
c. Steps for drawing an operating characteristics curve, given n and c:
Select a value for p and calculate np.
Find
P
a
, the probability of accepting the lot for
the selected value of p. Plot this point on a
graph with
P
a
on the vertical axis, and p on the
horizontal axis.
Return to the first step, selecting a different value for p, and continue this process for
a range of p values.
d. Application G.1: Drawing the OC Curve
A sampling plan is being evaluated where c = 10 and n = 193. If AQL = 0.03 and LTPD
= 0.08, what are the producer’s risk and consumer’s risk for the plan?
How would you draw the OC curve for this plan?
Finding
(probability of
rejecting AQL quality)
=
=
np
p
Finding
(probability of
accepting LTPD quality)
p
np
P
a
=
=
=
=
4. Selecting a Single-Sampling Plan
Understanding changes in the OC curve
1. Sample size effect
2. Acceptance level effect
5. Average Outgoing Quality
AOQ is the expected (or Average) proportion of defects that a particular sampling plan would
allow to pass through (Outgoing Quality from) inspection.
o Rectified inspectiondefects
found during the sampling process
are removed and reworked or
replaced with conforming
material.
o AOQL is the maximum value of
the average outgoing quality over
different AOQs and AOQLs.
The AOQL is found by calculating AOQ at several values for p, then setting AOQL equal to
the highest occurring AOQ.
Application G.2: Average Outgoing Quality: demonstrating the model for computing
AOQ.
Management has selected the following parameters:
AQL
LTPD
n c
= =
= =
= =
001 005
006 010
100 3
. .
. .
What is the AOQ if p = 0.05 and N = 3000?
( )( )
==
=
=
=
3000
2900
AOQ
p
np
p
a