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Modified chain sampling plans for lot inspection by variables and attributes

Stijn Luca (UGent)
(2018) JOURNAL OF APPLIED STATISTICS. 45(8). p.1447-1464
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Abstract
The purpose of acceptance sampling is to develop decision rules to accept or reject production lots based on sample data. When testing is destructive or expensive, dependent sampling procedures cumulate results from several preceding lots. This chaining of past lot results reduces the required size of the samples. A large part of these procedures only chain past lot results when defects are found in the current sample. However, such selective use of past lot results only achieves a limited reduction of sample sizes. In this article, a modified approach for chaining past lot results is proposed that is less selective in its use of quality history and, as a result, requires a smaller sample size than the one required for commonly used dependent sampling procedures, such as multiple dependent sampling plans and chain sampling plans of Dodge. The proposed plans are applicable for inspection by attributes and inspection by variables. Several properties of their operating characteristic-curves are derived, and search procedures are given to select such modified chain sampling plans by using the two-point method.
Keywords
Acceptance sampling, attributes inspection, conditional sampling, high quality processes, variables inspection

Citation

Please use this url to cite or link to this publication:

Chicago
Luca, Stijn. 2018. “Modified Chain Sampling Plans for Lot Inspection by Variables and Attributes.” Journal of Applied Statistics 45 (8): 1447–1464.
APA
Luca, S. (2018). Modified chain sampling plans for lot inspection by variables and attributes. JOURNAL OF APPLIED STATISTICS, 45(8), 1447–1464.
Vancouver
1.
Luca S. Modified chain sampling plans for lot inspection by variables and attributes. JOURNAL OF APPLIED STATISTICS. 2018;45(8):1447–64.
MLA
Luca, Stijn. “Modified Chain Sampling Plans for Lot Inspection by Variables and Attributes.” JOURNAL OF APPLIED STATISTICS 45.8 (2018): 1447–1464. Print.
@article{8581141,
  abstract     = {The purpose of acceptance sampling is to develop decision rules to accept or reject production lots based on sample data. When testing is destructive or expensive, dependent sampling procedures cumulate results from several preceding lots. This chaining of past lot results reduces the required size of the samples. A large part of these procedures only chain past lot results when defects are found in the current sample. However, such selective use of past lot results only achieves a limited reduction of sample sizes. In this article, a modified approach for chaining past lot results is proposed that is less selective in its use of quality history and, as a result, requires a smaller sample size than the one required for commonly used dependent sampling procedures, such as multiple dependent sampling plans and chain sampling plans of Dodge. The proposed plans are applicable for inspection by attributes and inspection by variables. Several properties of their operating characteristic-curves are derived, and search procedures are given to select such modified chain sampling plans by using the two-point method.},
  author       = {Luca, Stijn},
  issn         = {0266-4763},
  journal      = {JOURNAL OF APPLIED STATISTICS},
  language     = {eng},
  number       = {8},
  pages        = {1447--1464},
  title        = {Modified chain sampling plans for lot inspection by variables and attributes},
  url          = {http://dx.doi.org/10.1080/02664763.2017.1375084},
  volume       = {45},
  year         = {2018},
}

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