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Transcript of Acceptance Sampling Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or...
Acceptance Sampling
Supplement 10
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
10S-2
You should be able to:LO 10S.1 Explain the purpose of acceptance
samplingLO 10S.2 Compare and contrast single- and
multiple-sampling plansLO 10S.3 Describe what an operating
characteristic curve doesLO 10S.4 Determine the average outgoing
quality of inspected lots
Supplement 10: Learning Objectives
10S-3
Acceptance samplingA form of inspection applied to lots or batches
of items before or after a process, to judge conformance with predetermined standards
May be applied to both attribute and variable inspection
Acceptance Sampling
LO 10S.1
10S-4
Purpose of Acceptance SamplingThe purpose of acceptance sampling is to
decide whether a lot satisfies predetermined standardsLots that satisfy these standards are passed or
acceptedRejected lots may be subjected to 100 percent
inspectionIn the case of purchased goods, they may be
returned for credit or replacement
LO 10S.1
10S-5
Single-Sampling PlanSingle-sampling plan
One random sample is drawn from each lotEvery item in the sample is inspected and
classified as “good” or “defective”If any sample contains more than a specified
number of defectives, c, the lot is rejected
LO 10S.2
10S-6
Double-Sampling Plan Allows the opportunity to take a second sample if the results of
the initial sample are inconclusiveTwo values are specified for the number of defective items
A lower level, c1
An upper level, c2 If the number of defectives in the first sample is
≤ c1 the lot is accepted and sampling is terminated > c2 the lot is rejected and sampling is terminated Between c1 and c2 a second sample is collected
The number of defectives in both samples is compared to a third value, c3 If the combined number of defectives does not exceed this value,
the lot is accepted; otherwise, it is rejected
Double-Sampling Plan
LO 10S.2
10S-7
Multiple-sampling plan Similar to a double-sampling plan except more than two
samples may be required A sampling plan will specify each sample size and two limits for
each sampleThe limit values increase with the number of samples If, for any sample, the cumulative number of defectives
found exceeds the upper limit specified, the lot is rejected If for any sample the cumulative number of defectives found
is less than or equal to the lower limit, the lot is accepted. If the number of defectives found is between the two limits,
another sample is takenThe process continues until the lot is accepted or rejected
Multiple-Sampling Plan
LO 10S.2
10S-8
Operating Characteristic (OC) CurveAn important sampling plan characteristic is
how it discriminates between high and low quality
OC curves describe a sampling plan’s ability to discriminate OC curve
Probability curve that shows the probabilities of accepting lots with various fractions defective
LO 10S.3
10S-9
OC Curve
A typical OC Curve for Proportions
LO 10S.3
10S-10
Acceptable Defect LevelsAcceptable quality Level (AQL)
The percentage level of defects at which consumers are willing to accept lots as “good”
Lot tolerance percent defective (LTPD)The upper limit on the percentage of defects
that a consumer is willing to accept
LO 10S.3
10S-11
An OC Curve
The AQL indicates good lots, and the LTPD indicates bad lots
LO 10S.3
10S-12
An interesting feature of acceptance sampling is that the level of inspection automatically adjusts to the quality of the lots being inspected, assuming rejected lots are subjected to 100 percent inspectionGood lots have a high probability and bad lots a
low probability of being accepted.If the lots inspected are mostly good, few will end
up going through 100 percent inspection.The poorer the quality of the lots, the greater the
number of lots that will come under close scrutiny
Average Quality of Inspected Lots
LO 10S.4
10S-13
Average outgoing qualityAverage of rejected lots (100 percent
inspection) and accepted lots (a sample of items inspected)
Average Outgoing Quality
size Sample defectiveFraction
sizeLot lot theaccepting ofy Probabilit
where
AOQ
np
NP
N
nNpP
ac
ac
LO 10S.4
10S-14
In practice, the last term of the AOQ formula is close to 1.0
Eliminate this term, so
Construct the AOQ curve for this situationN = 500, n = 10, and c = 1
AOQ
pPacAOQ
p .05 .10 .15 .20 .25 .30 .35 .40
pac .9193
.7361
.5443
.3758
.2440
.0860
.0860
.0464
AOQ .046
.074
.082
.075
.061
.045
.030
.019
LO 10S.4
10S-15
0
0.02
0.04
0.06
0.08
0.1
0 0.1 0.2 0.3 0.4 0.5
AO
Q
Incoming fraction defective
AOQ Curve
Approximate AOQ = .082
LO 10S.4