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Acceptance Sampling 
- A form of inspection 
PRESENTED BY : SENARATHNE D.M.U.S | S/09/598
Outline 
 Introduction 
 Usage 
 Sampling Plans 
 Single, Double and multiple Sampling Plans 
 Operating Characteristic Curve and Acceptance Levels 
 Sampling Risks 
 Average Outgoing Quality 
 Advantages and Disadvantages 
 Conclusion 
acceptance sampling 
2
Introduction 
A form of inspection applied to lots or batches of 
items before or after a process to judge conformance 
to predetermined standards 
It is a decision making tool by which a conclusion is 
reached regarding the acceptability of lot. 
acceptance sampling 
3
Acceptance Sampling Used in… 
acceptance sampling 
 When testing is destructive 
4 
 When the cost of 100% inspection is extremely high and it is not 
technologically feasible 
 When the vendor has an excellent quality history, and some 
reduction in inspection from 100% is desired, but the vendor’s 
process capability is sufficiently low as to make no inspection an 
unsatisfactory alternative
Sampling Plans 
acceptance sampling 
Sampling 
plans 
Attribute 
sampling 
Single 
sampling 
Double 
Sampling 
Variable 
sampling 
Multiple 
Sampling 
Sequential 
Sampling 
Sampling Plans specify the 
lot size, sample size, number 
of samples and 
acceptance/rejection criteria. 
Sampling plans involve 
Random 
sample 
Lot 
5
Single Sampling Plan 
acceptance sampling 
 A representative sample of n items is drawn from a lot size of N 
items. 
 Each item in the sample is examined and classified as 
good/defective 
 If the number of defective exceeds a specified rejection number (C 
- cut off point) the whole lot is rejected; otherwise the whole lot is 
accepted 
Random 
sample 
(n items) 
Lot (N 
items) 
Random 
sample 
(n items) 
Lot (N 
items) 
6
Double Sampling Plan 
acceptance sampling 
 A Double Sampling Plan allows the opportunity to take a second 
sample if the results of the original sample are inconclusive. 
 Specifies the lot size, size of the initial sample, the 
accept/reject/inconclusive criteria for the initial sample (CL - lower level 
of defectives, CU - upper level of defectives) 
 Specifies the size of the second sample and the acceptance rejection 
criteria based on the total number of defective observed in both 
the first and second sample (CT- total allowable defectives) 
 It works like the following example 
7
Double Sampling Plan… 
acceptance sampling 
First sample 
inconclusive, take 
second sample 
First Random 
sample 
Lot 
Accept Lot Reject Lot 
CL CU 
 Compare number of defective found in the first random 
sample to CL and CU and make appropriate decision. 
8
Double Sampling Plan… 
Lot First Random 
Accept Lot Reject Lot 
CT 
 Compare the total number of defective in both samples to CT 
and make the appropriate decision 
sample 
Second Random 
sample 
9
Multiple Sampling Plans 
acceptance sampling 
 A Multiple Sampling Plan is similar to the double sampling plan in 
that successive trials are made, each of which has acceptance, 
rejection and inconclusive options. 
 Which Plan you choose depends on 
Cost and time 
Number of samples needed and number of items in 
each sample 
10
Operating Characteristic Curve(OCC) 
 An Operating 
Characteristic 
Curve (OCC) is a 
probability curve for a 
sampling plan that 
shows the 
probabilities of 
accepting lots with 
various lot quality 
levels (%defectives). 
acceptance sampling 
1 
0.9 
0.8 
0.7 
0.6 
0.5 
0.4 
0.3 
0.2 
0.1 
0 
11 
Under this sampling plan, if the lot has 2% 
defective 
. the probability of accepting the lot 
is 92% . the probability of rejecting 
the lot is 8% 
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 
Probability of acceptance 
Lot quality (%defective) 
If the lot has 10% defective 
. it has a small probability (11%) of 
being accepted . the probability of rejecting 
the lot is 89%
Customers Acceptance Levels 
acceptance sampling 
12 
 Most customers understand that 100% inspection is impractical and are 
generally willing to accept that a certain level of defectives will be produced. 
 The Acceptable Quality Level (AQL) is the percentage level of defects at 
which a customer is willing to accept as lot as “good”. 
 The Lot Tolerance Percent Defective (LTPD) is the upper limit on the 
percentage of defectives that a customer is willing to accept. 
 Customers want lots with quality better than or equal to the AQL but are 
willing to live with some lots with quality as poor as the LTPD, but prefer not 
to accept lots with quality levels worse than the LTPD.
Defining good and bad lot 
1 
0.8 
0.6 
0.4 
0.2 
0 
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 
Probability of acceptance 
AQL LTPD Proportion non-conforming 
Very Good 
Ok! But 
not great 
Very Bad 
Instead of good and bad 
we will define “really 
good”, “really bad”, “ok, 
but not great” 
acceptance sampling 
13
Customers Acceptance Levels… 
 Therefore the sampling plan must be designed to assure the 
customer that they will be receiving the required AQL and LTPD. 
 The Consumer’s Risk is the probability that an unacceptable lot 
(e.g. above the LTPD) will be accepted. 
 The Producer’s Risk is the probability that a “good” lot will be 
rejected. 
acceptance sampling 
14
Sampling Risks 
1 
0.8 
0.6 
0.4 
0.2 
0 
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 
AQL 
LTPD 
Producer’s Risk = Probability acceptable 
is rejected 
Consumer Risk = Probability unacceptable accepted 
Acceptable lot 
Unacceptable lot 
aceptancae sampling 
15
Average Quality Of Inspected Lots 
The result of acceptance sampling (assuming rejected lots are 100% inspected) 
is that the level of inspection automatically adjusts to the quality of the lots being 
inspected. 
The Average Outgoing Quality (AOQ)is the average of rejected lots (100% 
inspection) and accepted lots ( a sample of items inspected). 
AOQ = 푃푎푐 × 푝 
(푁−푛) 
푁 
where; 
푃푎푐 = Probability of accepting a lot 
푝 = Fraction defective 
N = Lot size 
n = Sample size 
The maximum outgoing quality level is referred to as the AOQL 
acceptance sampling 
16
Constructing OC Curve 
1 
0.9 
0.8 
0.7 
0.6 
0.5 
0.4 
0.3 
0.2 
0.1 
0 
0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 
Probability of acceptance 
Proportion non-conforming 
0.677 
Proportion 
non-conforming 
17 
Probability 
of 
acceptance 
acceptance sampling 
0 1 
0.01 0.986 
0.02 0.922 
0.04 0.677 
0.06 0.416 
0.08 0.226 
0.1 0.112 
0.15 0.014 
OC curve for n=50, c=2 0.2 0.001
Advantages 
 It is usually less expensive because there is less inspection. 
 There is less handling of the product, hence reduced damage. 
 It is applicable to destructive testing. 
 Fewer personnel are involved in inspection activities. 
 It often greatly reduces the amount of inspection error. 
 The rejection of entire lots are opposed to the sample return of 
defectives often provides a stronger motivation to the vendor for 
quality improvements. 
acceptance sampling 
18
Disadvantages 
 There are risk of accepting “bad” lots and rejecting “good” lots. 
 Less information is usually generated about the product or about 
the process that manufactured the product. 
 Acceptance sampling requires planning and documentation of the 
acceptance sampling procedure whereas 100% inspection does 
not. 
acceptance sampling 
19
Conclusion 
 Acceptance sampling is a statistical procedure used to determine 
whether to accept or reject a production lot of material. 
 A wide variety of sampling plans are available. Plans have an accepted 
AQL & a rejected LTPD & an AOQL. 
 Acceptance sampling tables are there to supply a set of accepted 
procedures with known properties &verified results. 
 Sampling provides rational means of verification that a production lot 
confirms with requirements of technical specifications. 
acceptance sampling 
20
THANK YOU 
acceptance sampling 
21

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Acceptance sampling

  • 1. Acceptance Sampling - A form of inspection PRESENTED BY : SENARATHNE D.M.U.S | S/09/598
  • 2. Outline  Introduction  Usage  Sampling Plans  Single, Double and multiple Sampling Plans  Operating Characteristic Curve and Acceptance Levels  Sampling Risks  Average Outgoing Quality  Advantages and Disadvantages  Conclusion acceptance sampling 2
  • 3. Introduction A form of inspection applied to lots or batches of items before or after a process to judge conformance to predetermined standards It is a decision making tool by which a conclusion is reached regarding the acceptability of lot. acceptance sampling 3
  • 4. Acceptance Sampling Used in… acceptance sampling  When testing is destructive 4  When the cost of 100% inspection is extremely high and it is not technologically feasible  When the vendor has an excellent quality history, and some reduction in inspection from 100% is desired, but the vendor’s process capability is sufficiently low as to make no inspection an unsatisfactory alternative
  • 5. Sampling Plans acceptance sampling Sampling plans Attribute sampling Single sampling Double Sampling Variable sampling Multiple Sampling Sequential Sampling Sampling Plans specify the lot size, sample size, number of samples and acceptance/rejection criteria. Sampling plans involve Random sample Lot 5
  • 6. Single Sampling Plan acceptance sampling  A representative sample of n items is drawn from a lot size of N items.  Each item in the sample is examined and classified as good/defective  If the number of defective exceeds a specified rejection number (C - cut off point) the whole lot is rejected; otherwise the whole lot is accepted Random sample (n items) Lot (N items) Random sample (n items) Lot (N items) 6
  • 7. Double Sampling Plan acceptance sampling  A Double Sampling Plan allows the opportunity to take a second sample if the results of the original sample are inconclusive.  Specifies the lot size, size of the initial sample, the accept/reject/inconclusive criteria for the initial sample (CL - lower level of defectives, CU - upper level of defectives)  Specifies the size of the second sample and the acceptance rejection criteria based on the total number of defective observed in both the first and second sample (CT- total allowable defectives)  It works like the following example 7
  • 8. Double Sampling Plan… acceptance sampling First sample inconclusive, take second sample First Random sample Lot Accept Lot Reject Lot CL CU  Compare number of defective found in the first random sample to CL and CU and make appropriate decision. 8
  • 9. Double Sampling Plan… Lot First Random Accept Lot Reject Lot CT  Compare the total number of defective in both samples to CT and make the appropriate decision sample Second Random sample 9
  • 10. Multiple Sampling Plans acceptance sampling  A Multiple Sampling Plan is similar to the double sampling plan in that successive trials are made, each of which has acceptance, rejection and inconclusive options.  Which Plan you choose depends on Cost and time Number of samples needed and number of items in each sample 10
  • 11. Operating Characteristic Curve(OCC)  An Operating Characteristic Curve (OCC) is a probability curve for a sampling plan that shows the probabilities of accepting lots with various lot quality levels (%defectives). acceptance sampling 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 11 Under this sampling plan, if the lot has 2% defective . the probability of accepting the lot is 92% . the probability of rejecting the lot is 8% 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 Probability of acceptance Lot quality (%defective) If the lot has 10% defective . it has a small probability (11%) of being accepted . the probability of rejecting the lot is 89%
  • 12. Customers Acceptance Levels acceptance sampling 12  Most customers understand that 100% inspection is impractical and are generally willing to accept that a certain level of defectives will be produced.  The Acceptable Quality Level (AQL) is the percentage level of defects at which a customer is willing to accept as lot as “good”.  The Lot Tolerance Percent Defective (LTPD) is the upper limit on the percentage of defectives that a customer is willing to accept.  Customers want lots with quality better than or equal to the AQL but are willing to live with some lots with quality as poor as the LTPD, but prefer not to accept lots with quality levels worse than the LTPD.
  • 13. Defining good and bad lot 1 0.8 0.6 0.4 0.2 0 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 Probability of acceptance AQL LTPD Proportion non-conforming Very Good Ok! But not great Very Bad Instead of good and bad we will define “really good”, “really bad”, “ok, but not great” acceptance sampling 13
  • 14. Customers Acceptance Levels…  Therefore the sampling plan must be designed to assure the customer that they will be receiving the required AQL and LTPD.  The Consumer’s Risk is the probability that an unacceptable lot (e.g. above the LTPD) will be accepted.  The Producer’s Risk is the probability that a “good” lot will be rejected. acceptance sampling 14
  • 15. Sampling Risks 1 0.8 0.6 0.4 0.2 0 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 AQL LTPD Producer’s Risk = Probability acceptable is rejected Consumer Risk = Probability unacceptable accepted Acceptable lot Unacceptable lot aceptancae sampling 15
  • 16. Average Quality Of Inspected Lots The result of acceptance sampling (assuming rejected lots are 100% inspected) is that the level of inspection automatically adjusts to the quality of the lots being inspected. The Average Outgoing Quality (AOQ)is the average of rejected lots (100% inspection) and accepted lots ( a sample of items inspected). AOQ = 푃푎푐 × 푝 (푁−푛) 푁 where; 푃푎푐 = Probability of accepting a lot 푝 = Fraction defective N = Lot size n = Sample size The maximum outgoing quality level is referred to as the AOQL acceptance sampling 16
  • 17. Constructing OC Curve 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 Probability of acceptance Proportion non-conforming 0.677 Proportion non-conforming 17 Probability of acceptance acceptance sampling 0 1 0.01 0.986 0.02 0.922 0.04 0.677 0.06 0.416 0.08 0.226 0.1 0.112 0.15 0.014 OC curve for n=50, c=2 0.2 0.001
  • 18. Advantages  It is usually less expensive because there is less inspection.  There is less handling of the product, hence reduced damage.  It is applicable to destructive testing.  Fewer personnel are involved in inspection activities.  It often greatly reduces the amount of inspection error.  The rejection of entire lots are opposed to the sample return of defectives often provides a stronger motivation to the vendor for quality improvements. acceptance sampling 18
  • 19. Disadvantages  There are risk of accepting “bad” lots and rejecting “good” lots.  Less information is usually generated about the product or about the process that manufactured the product.  Acceptance sampling requires planning and documentation of the acceptance sampling procedure whereas 100% inspection does not. acceptance sampling 19
  • 20. Conclusion  Acceptance sampling is a statistical procedure used to determine whether to accept or reject a production lot of material.  A wide variety of sampling plans are available. Plans have an accepted AQL & a rejected LTPD & an AOQL.  Acceptance sampling tables are there to supply a set of accepted procedures with known properties &verified results.  Sampling provides rational means of verification that a production lot confirms with requirements of technical specifications. acceptance sampling 20
  • 21. THANK YOU acceptance sampling 21