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MIL-STD-105 was a United States defense standard that provided procedures and tables for sampling by attributes (pass or fail characteristic). MIL-STD-105E was cancelled in 1995 but is available in related documents such as ANSI/ASQ Z1.4, "Sampling
Procedures and Tables for Inspection by Attributes".
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It is usually done as products leave the factory, or in some cases even within the factory. Most often a producer supplies a consumer with several items and a decision to accept or reject the items is made by determining the number of defective items in a sample from the lot. The lot is accepted if
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is available. For example, multiple sampling plans use more than two samples to reach a conclusion. A shorter examination period and smaller sample sizes are features of this type of plan. Although the samples are taken at random, the sampling procedure is still reliable.
119:. 100% inspection does not guarantee 100% compliance and is too time-consuming and costly. Rather than evaluating all items, a specified sample is taken, inspected or tested, and a decision is made about accepting or rejecting the entire production lot.
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of the sampling plan. These are primarily statistical risks and do not necessarily imply that a defective product is intentionally being made or accepted. Plans can have a known average outgoing quality limit (AOQL).
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Eraldo
Banovac, Igor Kuzle. Applicability of the LASPs in the electric-power industry. Proceedings of the International IEEE Conference EUROCON 2009, Saint Petersburg, Russia, May 18–23, 2009, pp. 1152-1157.
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is specified and the basis for acceptance or rejection (number of defects) is provided. MIL-STD-1916 is currently the preferred method of sampling for all
Department of Defense (DoD) contracts.
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When a measured characteristic produces a number, other sampling plans, such as those based on MIL-STD-414, are often used. Compared with attribute sampling plans, these often use a smaller
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A single sampling plan for attributes is a statistical method by which the lot is accepted or rejected on the basis of one sample. Suppose that we have a lot of sizes
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ASTM E122 Standard
Practice for Calculating Sample Size to Estimate, With a Specified Tolerable Error, the Average for Characteristic of a Lot or Process
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Eraldo
Banovac, DraĹľan Kozak. "An analytic review of the characteristics of the Lot Acceptance Sampling Plans used for acceptance of large lots".
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477:(A subscription fee is required to use the calculators. The "free" calculations have locked features.)
126:(AQL) and a rejectable quality level, such as lot tolerance percent defective (LTDP), are part of the
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ASTM E141 Standard
Practice for Acceptance of Evidence Based on the Results of Probability Sampling
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the number of defects falls below where the acceptance number or otherwise the lot is rejected.
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broadened the scope beyond final inspection to include all aspects of manufacturing. Broader
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to determine whether to accept or reject a production lot of material. It has been a common
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Acceptance sampling procedures became common during World War II. Sampling plans, such as
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ASTM E2234 Standard
Practice for Sampling a Stream of Product by Attributes Indexedby AQL
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In general, acceptance sampling is employed when one or several of the following hold:
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ASTM E1994 Standard
Practice for Use of Process Oriented AOQL and LTPD Sampling Plans
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is determined. If it is found the number of nonconforming is less than or equal to
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Several levels of inspection are provided and can be indexed to several AQLs. The
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Sampling procedures for inspection by attributes, JIS Z 9015-1:2006
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Sampling procedures for inspection by attributes, ISO 2859-1:1999
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E105 Standard
Practice for Probability Sampling of Materials
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that a production lot conforms with the requirements of
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430:De Feo, J. A., "Juran's Quality Handbook", 2016,
420:Pyzdek, T, "Quality Engineering Handbook", 2003,
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376:International Review of Electrical Engineering
352:Advanced Engineering Mathematics, 9th Edition
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135:Acceptance sampling for attributes
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51:A wide variety of acceptance
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396:Montgomery, D. C. (2009).
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265:and the acceptance number
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350:Kreyszig, Erwin (2006).
124:acceptable quality limit
117:technical specifications
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303:Variables sampling plan
297:Variables sampling plan
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178:{\displaystyle N<M}
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278:{\displaystyle B}
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315:See also
101:ISO 9000
60:History
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432:ISBN
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