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8/9/2019 Chap010s - Acceptance Sampling
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S P CHHEDA & CO
10s-1 Acceptance Sampling
William J. Stevenson
Operations Management
8th edition
8/9/2019 Chap010s - Acceptance Sampling
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10s-2 Acceptance Sampling
8/9/2019 Chap010s - Acceptance Sampling
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10s-3 Acceptance Sampling
Sampling Plans
Acceptance sampling: Form ofinspection applied to lots or batches ofitems before or after a process, to judgeconformance with predetermined
standards Sampling plans: Plans that specify lot
size, sample size, number of samples,and acceptance/rejection criteria
Single-sampling
Double-sampling
Multiple-sampling
8/9/2019 Chap010s - Acceptance Sampling
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10s-4 Acceptance SamplingOperating CharacteristicCurve
00.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 .05 .10 .15 .20 .25Proba
bility
ofac
ceptin
g
lot
Lot quality (fraction defective)
3%
Figure 10S.1
8/9/2019 Chap010s - Acceptance Sampling
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10s-5 Acceptance Sampling
Decision Criteria
0
1.00
Proba
bility
ofac
ceptin
g
lot
Lot quality (fraction defective)
Good Bad
Ideal
Not verydiscriminating
Figure 10S.2
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10s-6 Acceptance Sampling
Sampling Terms
Acceptance quality level (AQL): thepercentage of defects at which consumers arewilling to accept lots as good
Lot tolerance percent defective (LTPD): the
upper limit on the percentage of defects that aconsumer is willing to accept
Consumers risk: the probability that a lotcontained defectives exceeding the LTPD will beaccepted
Producers risk: the probability that a lotcontaining the acceptable quality level will berejected
C d d
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10s-7 Acceptance SamplingConsumers and ProducersRisk
00.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 .05 .10 .15 .20 .25Proba
bility
ofac
ceptin
g
lot
Lot quality (fraction defective)
= .10
= .10
Good
AQL
BadIndifferent
LTPD
Figure 10S.3
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10s-8 Acceptance Sampling
QC Curve for n = 10, c = 1QC Curve for n = 10, c = 1Figure 10S.4
00.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 .10 .20 .30 .40 .50Proba
bility
ofac
ceptance
Fraction defective in lot
.9139
.7361
.5443
.3758
.2440
.1493
.0860
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10s-9 Acceptance Sampling
Average Quality
Average outgoing quality (AOQ):Average of inspected lots (100%) and
uninspected lots AOQ Pac p
N n
N=
Pac = Probability of accepting lot
p = Fraction defective
N = Lot sizen = Sample size
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10s-10 Acceptance Sampling
Example 2: AOQ
0 0
0 .0 5 0 .0 4 6
0 .1 0 .0 7 4
0 .1 5 0 .0 8 2
0 .2 0 .0 7 5
0 .2 5 0 .0 6 1
0 .3 0 .0 4 5
0 .3 5 0 .0 3
0 .4 0 .0 1 9
0
0 . 0 1
0 . 0 2
0 . 0 3
0 . 0 4
0 . 0 5
0 . 0 6
0 . 0 7
0 . 0 8
0 . 0 9
0 0 . 0 5 0 . 1 0 . 1 5 0 . 2 0 . 2 5 0 . 3 0 . 3 5 0 . 4
Approximate AOQL = .082
AOQ(
Fractiondefec
tiveout)
Incoming fraction defective