Download presentation

Presentation is loading. Please wait.

Published bySteve Bury Modified over 2 years ago

1
15 - 1 a form of inspection applied to lots or batches of items before or after a process to judge conformance to predetermined standards Lesson 15 Acceptance Sampling

2
15 - 2 Acceptance Sampling is very useful when. Large numbers of items must be processed in a short amount of time. The cost of “passing defectives” is low. Fatigue/boredom is caused by inspecting large numbers of items Acceptance Sampling. Destructive testing is required

3
15 - 3 Sampling Plans specify the lot size, sample size, number of samples and acceptance/rejection criteria. Sampling plans involve. Single sampling. Double sampling. Multiple sampling Random sample Lot Sampling Plans

4
15 - 4 Single Sampling Plan A Single Sampling Plan is one where. 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)

5
15 - 5 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 Double Sampling Plan

6
15 - 6 First Random sample Lot CLCU First sample inconclusive, take second sample Reject LotAccept Lot Compare number of defective found in the first random sample to CL and CU and make appropriate decision. Double Sampling Plan

7
15 - 7 CT Reject LotAccept Lot Compare the total number of defective in both lots to CT and make the appropriate decision Double Sampling Plan Lot First Random sample Second Random sample

8
15 - 8 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 Multiple Sampling Plan

9
15 - 9 Acceptance Sampling Advantages Economy Less handling damage Fewer inspectors Upgrading of the inspection job Applicability to destructive testing Entire lot rejection (motivation for improvement) Purposes Determine quality level Ensure quality is within predetermined level Disadvantages Risks of accepting “bad” lots and rejecting “good” lots Added planning and documentation Sample provides less information than 100-percent inspection

10
15 - 10 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). Operating Characteristic Curve (OCC) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.05.10.15.20 Probability of accepting lot Lot quality (% defective) Under this sampling plan, if the lot has 3% defective. the probability of accepting the lot is 90%. the probability of rejecting the lot is 10% If the lot has 20% defective. it has a small probability (5%) of being accepted. the probability of rejecting the lot is 95%

11
15 - 11 Operating Characteristic Curve (OCC) 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.05.10.15.20 Probability of accepting lot Lot quality (% defective) Under this sampling plan what is the probability of accepting a lot that has 5% defectives? Approximately 80% This sampling plan may not be acceptable to customer. Therefore, this sampling plan may not be acceptable for meeting the customers level of quality.

12
15 - 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”. Lot Tolerance Percent Defective (LTPD) The Lot Tolerance Percent Defective (LTPD) is the upper limit on the percentage of defectives that a customer is willing to accept. AQL LTPD LTPD 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. Customer Acceptance Levels

13
15 - 13 AQLLTPD Therefore the sampling plan must be designed to assure the customer that they will be receiving the required AQL and LTPD. AQLLTPD The AQL and LTPD are dependent on many things (reliability, liability, competitor quality levels, etc.) and will vary by industry and by customer. Typically industry standards are set because suppliers have more than one customer and customers have more than one supplier. Consumer’s Risk LTPD The Consumer’s Risk is the probability that an unacceptable lot (e.g. above the LTPD ) will be accepted. Producer’s Risk The Producer’s Risk is the probability that a “good” lot will be rejected. Customer Acceptance Levels

14
15 - 14 OCC, AQL & Producer’s Risk 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Probability of accepting lot 0 0.1 0.05.10.15.20 Lot quality (% defective) AQL - percentage level of defects at which a customer is willing to accept “ Acceptable Lot ” Producer’s Risk = probability acceptable lot is rejected

15
15 - 15 OCC, LTPD & Consumer’s Risk 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Probability of accepting lot 0 0.1 0.05.10.15.20 Lot quality (% defective) LTPD - upper limit on the percentage of defectives that a customer is willing to accept. Consumer’s Risk = probability unacceptable is accepted “Unacceptable Lot”

16
15 - 16 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). The maximum outgoing quality level is referred to as the AOQL. Average Quality Of Inspected Lots

17
15 - 17 Example: Create an Operating Characteristic Curve for the sampling plan: Lot Size = N = 2000, sample size = n = 10, reject if number defectives > C = 1. Answer the following questions. OCC

18
15 - 18

19
15 - 19 Operating Characteristic Curves What is the probability of accepting a lot which has 2.5% defective?

20
15 - 20 What is the Producer’s risk if the AQL is 1%?.0043 Mouse over the “Producer’s risk” cell to see the explanation. Operating Characteristic Curves

21
15 - 21 What is the Consumer’s risk if the LTPD is 6%?.8824 Mouse over the “Consumer’s Risk” cell to see the explanation. Operating Characteristic Curves

22
15 - 22 What is the AOQ curve? What is the AOQL? Operating Characteristic Curves

23
15 - 23 Homework Read and understand all material in the chapter. Discussion and Review Questions Recreate and understand all classroom examples Exercises on chapter web page

Similar presentations

OK

11 1 11 1 111. 22 2 22 2 222 Myth: “Acceptance sampling assures good quality.” Truth: Acceptance sampling provides confidence that p (the population fraction.

11 1 11 1 111. 22 2 22 2 222 Myth: “Acceptance sampling assures good quality.” Truth: Acceptance sampling provides confidence that p (the population fraction.

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on low level language vs high level Joints anatomy and physiology ppt on cells Ppt on time management for college students Ppt on regional trade agreements Ppt on p&g products free samples Ppt on venture capital for mba students Download ppt on history and sport the story of cricket Muscular system anatomy and physiology ppt on cells Ppt on 2 dimensional figures and 3 dimensional slides to dvd Ppt on conic sections for class 11 free download