Difference between revisions of "Acceptance Sampling (glossary)"

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<blockquote>''DEFINITION'' (Citation)</blockquote>
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<blockquote>''In acceptance sampling many examples of a product are presented for delivery. The consumer samples from the lot and each member of the sample is then either categorized as "acceptable" or "unacceptable" based on an attribute (attribute sampling) or measured against one or more metrics (variable sampling). Based on the measurements, an inference is made as to whether the lot meets the customer requirements.
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There are four possible outcomes of the sampling of a lot, as shown in Table 1.''
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<center>
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{|
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|+ '''Table 1. Truth Table - Outcomes of Acceptance Sampling.''' (SEBoK Original)
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|-
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!
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!'''Lot meets requirement'''
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!'''Lot fails requirement'''
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|-
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| '''Sample passes test'''
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| No error
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| Consumer risk
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|-
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| '''Sample fails test'''
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| Producer risk
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| No error
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|}
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</center>
  
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If more than one definition, please copy/paste the code for the definition (above) and insert a number in parentheses at the beginning of each definition (i.e. (1), (2), (3), etc.)  ‘’’Make sure to include the source citation at the end of the definition.’’’
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''A sample acceptance plan balances the risk of error between the producer and consumer. Detailed ANSI/ISO/ASQ standards describe how this allocation is performed.'' (ANSI/ISO/ASQ 1993)</blockquote>
  
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====Source(s)====
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===Sources===
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Please include the source(s) for the definition(s) above.  The sources should be formatted using Chicago Manual of Style (15th ed.). Please see the [http://www.bkcase.org/fileadmin/bkcase/files/Wiki_Files__for_linking_/BKCASE_Reference_Guidance.pdf BKCASE Reference Guidance] for formatting.
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ANSI/ISO/ASQ.  1993.   ''Statistics—Vocabulary and Symbols—Statistical Quality Control.'' Philadelphia, PA, USA: American National Standards Institute (ANSI)/International Standards Organization (ISO)/American Society for Quality(ASQ) :A3534-2-1993.
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If there is more than one definition, the source for each definition must be provided.  Sources should be listed in alphabetical order by author.
 
  
 
===Discussion===
 
===Discussion===
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'''This area is for the ''Glossary Term Owner'' to provide discussion on the context and uses of the term. This is ''not'' where you should provide comments. '''  Please use the “Discussion” tab (above) to provide feedback if you are not the term owner.
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A company cannot test every one of its products due to either the need for destructive testing requirements, or the volume of products being too large. Acceptance sampling solves this by testing a sample of product for defects. The process involves batch size, sample size and the number of defects acceptable in the batch. This process allows a company to measure the quality of a batch with a specified degree of statistical certainty without having to test every unit of product. The statistical reliability of a sample is generally measured by a t-statistic.  
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Please note that if there is more than one definition, it is very important to provide information on the context of the different terms and to explain to the user why it is not possible to identify only one definition. For example, is this an emerging concept for which there is still much research to be done?  Or have two different definitions emerged as the result of two different disciplines interacting with systems engineering?
 
  
 
[[Category:Glossary of Terms]]
 
[[Category:Glossary of Terms]]
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<center>'''SEBoK v. 2.9, released 20 November 2023'''</center>

Revision as of 21:58, 18 November 2023

In acceptance sampling many examples of a product are presented for delivery. The consumer samples from the lot and each member of the sample is then either categorized as "acceptable" or "unacceptable" based on an attribute (attribute sampling) or measured against one or more metrics (variable sampling). Based on the measurements, an inference is made as to whether the lot meets the customer requirements.

There are four possible outcomes of the sampling of a lot, as shown in Table 1.

Table 1. Truth Table - Outcomes of Acceptance Sampling. (SEBoK Original)
Lot meets requirement Lot fails requirement
Sample passes test No error Consumer risk
Sample fails test Producer risk No error

A sample acceptance plan balances the risk of error between the producer and consumer. Detailed ANSI/ISO/ASQ standards describe how this allocation is performed. (ANSI/ISO/ASQ 1993)

Sources

ANSI/ISO/ASQ. 1993. Statistics—Vocabulary and Symbols—Statistical Quality Control. Philadelphia, PA, USA: American National Standards Institute (ANSI)/International Standards Organization (ISO)/American Society for Quality(ASQ) :A3534-2-1993.

Discussion

A company cannot test every one of its products due to either the need for destructive testing requirements, or the volume of products being too large. Acceptance sampling solves this by testing a sample of product for defects. The process involves batch size, sample size and the number of defects acceptable in the batch. This process allows a company to measure the quality of a batch with a specified degree of statistical certainty without having to test every unit of product. The statistical reliability of a sample is generally measured by a t-statistic.

SEBoK v. 2.9, released 20 November 2023
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