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Chapter 15: B. Sampling 153Acceptance Sampling by AttributesAcceptance sampling by attributes is generally used for two purposes: 1) protectionagainst accepting lots from a continuing process whose average quality deterioratesbeyond an acceptable quality level, and 2) protection against isolated lotsthat may have levels of nonconformances greater than can be considered acceptable.The most commonly used form of acceptance sampling plan is sampling byattributes. The most widely used standard of all attribute plans, although not necessarilythe best, is ANSI/ASQ Z1.4-2003. The following sections provide moredetail on the characteristics of acceptance sampling and a discussion of militarystandards in acceptance sampling.Acceptance Quality LimitAcceptance quality limit (AQL) is defined as the quality level that is the worst tolerableprocess average when a continuing series of lots is submitted for acceptancesampling. This means that a lot that has a fraction defective equal to the AQL hasa high probability (generally in the area of 0.95, although it may vary) of beingaccepted. As a result, plans that are based on AQL, such as ANSI/ASQ Z1.4-2003,favor the producer in getting lots accepted that are in the general neighborhood ofthe AQL for fraction defective in a lot.Lot Tolerance Percent DefectiveThe lot tolerance percent defective (LTPD), expressed in percent defective, is thepoorest quality in an individual lot that should be accepted. The LTPD has alow probability of acceptance. In many sampling plans, the LTPD is the percentdefective having a 10 percent probability of acceptance.Part III.BProducer’s and Consumer’s RisksThere are risks involved in using acceptance sampling plans. The risks involvedin acceptance sampling are 1) producer’s risk and 2) consumer’s risk. These riskscorrespond with type 1 and type 2 errors in hypothesis testing. The definitions ofproducer’s and consumer’s risks are:Producer’s Risk (`). The producer’s risk for any given sampling plan is theprobability of rejecting a lot that is within the acceptable quality level (ASQ 2005).This means that the producer faces the possibility (at level of significance a) ofhaving a lot rejected even though the lot has met the requirements stipulated bythe AQL level.Consumer’s Risk (a). The consumer’s risk for any given sampling plan is theprobability of acceptance (usually 10 percent) for a designated numerical value ofrelatively poor submitted quality (ASQ 2005). The consumer’s risk, therefore, isthe probability of accepting a lot that has a quality level equal to the LTPD.
154 Part III: Inspection and TestAverage Outgoing QualityThe average outgoing quality (AOQ) is the expected average quality of outgoingproducts, including all accepted lots, plus all rejected lots that have been sorted100 percent and have had all of the nonconforming units replaced by conformingunits.There is a given AOQ for specific fractions nonconforming of submitted lotssampled under a given sampling plan. When the fraction nonconforming is verylow, a large majority of the lots will be accepted as submitted. The few lots thatare rejected will be sorted 100 percent and have all nonconforming units replacedwith conforming units. Thus, the AOQ will always be less than the submittedquality. As the quality of submitted lots declines in relation to the AQL, the percentof lots rejected increases in proportion to accepted lots. As these rejected lotsare sorted and combined with accepted lots, an AOQ lower than the average fractionof nonconformances of submitted lots emerges. Therefore, when the level ofquality of incoming lots is good, the AOQ is good; when the incoming quality isbad and most lots are rejected and sorted, the result is also good.Average Outgoing Quality LimitPart III.BThe AOQ is a variable dependent on the quality level of incoming lots. When theAOQ is plotted for all possible levels of incoming quality, a curve as shown inFigure 15.2 results. The average outgoing quality limit (AOQL) is the highest valueon the AOQ curve.Assuming an infinite lot size, the AOQ may be calculated as AOQ = P a p. Probabilityof acceptance (P a ) may be obtained from tables as explained earlier andthen multiplied by p.Lot Size, Sample Size, and Acceptance NumberFor any single sampling plan, the plan is completely described by the lot size,sample size, and acceptance number.AOQ (%)4.03.63.22.82.42.01.61.20.80.400.03670.02581 2 3 4 50.03880.0367N = 0.0312n = 500.0220c = 30.01340.007710 15 20p (percent nonconforming)Figure 15.2 Average outgoing quality curve for: N = , n = 50, c = 3.
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154 Part III: Inspection and Test
Average Outgoing Quality
The average outgoing quality (AOQ) is the expected average quality of outgoing
products, including all accepted lots, plus all rejected lots that have been sorted
100 percent and have had all of the nonconforming units replaced by conforming
units.
There is a given AOQ for specific fractions nonconforming of submitted lots
sampled under a given sampling plan. When the fraction nonconforming is very
low, a large majority of the lots will be accepted as submitted. The few lots that
are rejected will be sorted 100 percent and have all nonconforming units replaced
with conforming units. Thus, the AOQ will always be less than the submitted
quality. As the quality of submitted lots declines in relation to the AQL, the percent
of lots rejected increases in proportion to accepted lots. As these rejected lots
are sorted and combined with accepted lots, an AOQ lower than the average fraction
of nonconformances of submitted lots emerges. Therefore, when the level of
quality of incoming lots is good, the AOQ is good; when the incoming quality is
bad and most lots are rejected and sorted, the result is also good.
Average Outgoing Quality Limit
Part III.B
The AOQ is a variable dependent on the quality level of incoming lots. When the
AOQ is plotted for all possible levels of incoming quality, a curve as shown in
Figure 15.2 results. The average outgoing quality limit (AOQL) is the highest value
on the AOQ curve.
Assuming an infinite lot size, the AOQ may be calculated as AOQ = P a p. Probability
of acceptance (P a ) may be obtained from tables as explained earlier and
then multiplied by p.
Lot Size, Sample Size, and Acceptance Number
For any single sampling plan, the plan is completely described by the lot size,
sample size, and acceptance number.
AOQ (%)
4.0
3.6
3.2
2.8
2.4
2.0
1.6
1.2
0.8
0.4
0
0.0367
0.0258
1 2 3 4 5
0.0388
0.0367
N =
0.0312
n = 50
0.0220
c = 3
0.0134
0.0077
10 15 20
p (percent nonconforming)
Figure 15.2 Average outgoing quality curve for: N = , n = 50, c = 3.