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Economic efficiency of the AOQL single sampling plans for the inspection by variables

Author

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  • Jindrich Klufa

    (Department of Mathematics, Faculty of Informatics and Statistics, University of Economics, Prague, Czech Republic)

Abstract

The paper refers to the AOQL (Average Outgoing Quality Limit) single sampling plans when the remainder of the rejected lots is inspected. These rectifying AOQL plans for inspection by variables were created by the author of this paper and published in the Statistical Papers. These new plans were compared with the corresponding Dodge-Romig AOQL plans for inspection by attributes from the economic point of view. Numerical investigations confirm that under the same protection of consumer, the AOQL plans for inspection by variables are in many situations more economical than the corresponding Dodge-Romig AOQL attribute sampling plans. The dependence of the saving of the inspection cost on the input parameters of acceptance sampling (the average outgoing quality limit, the lot size and the process average proportion defective) is analysed in the paper. Moreover, a criterion for deciding if the inspection by variables should be considered instead of the inspection by attributes is suggested in the paper.

Suggested Citation

  • Jindrich Klufa, 2016. "Economic efficiency of the AOQL single sampling plans for the inspection by variables," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(12), pages 550-555.
    • Handle: RePEc:caa:jnlage:v:62:y:2016:i:12:id:293-2015-agricecon
    DOI: 10.17221/293/2015-AGRICECON
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    References listed on IDEAS

    as
    1. Muhammad Aslam & Muhammad Azam & Chi-Hyuck Jun, 2015. "A new lot inspection procedure based on exponentially weighted moving average," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(8), pages 1392-1400, June.
    2. Linda Ho & Roberto Costa Quinino & Emílio Suyama & Ruth Lourenço, 2012. "Monitoring the conforming fraction of high-quality processes using a control chart p under a small sample size and an alternative estimator," Statistical Papers, Springer, vol. 53(3), pages 507-519, August.
    3. J. Klufa, 2008. "Dodge-roming AOQL plans for inspection by variables from numerical point of view," Statistical Papers, Springer, vol. 49(1), pages 1-13, March.
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