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Dodge-Romig AOQL single sampling plans for inspection by variables

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Abstract

Acceptance sampling plans for inspection by variables, which minimize the mean inspection cost per lot of process average quality (assuming that the remainder of rejected lots is inspected), are derived under the condition that the maximum value of the mean fraction defective after sampling inspection, replacing all defective items found by good ones, shall be equal top L . These plans are tabulated for chosen values of the given parameters, and compared with the Dodge-Romig AOQL attribute sampling plans. From the comparison it follows that under the same protection of consumer the AOQL plans for inspection by variables are in some situations more economical than the corresponding Dodge-Romig plans.

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References

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Authors and Affiliations

  1. Department of Mathematics, University of Economics, W. Churchill Sq. 4, 130 67, Prague 3, Czech Republic

    J. Klufa

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  1. J. Klufa
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Klufa, J. Dodge-Romig AOQL single sampling plans for inspection by variables. Statistical Papers 38, 111–119 (1997). https://doi.org/10.1007/BF02925218

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  • DOI: https://doi.org/10.1007/BF02925218

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