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Economic aspects of the LTPD single sampling inspection plans

Author

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  • Jindřich KLŮFA

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

Abstract

The paper deals with the LTPD (Lot Tolerance Percent Defective) single sampling plans when the remainder of rejected lots is inspected. There are considered two types of the LTPD plans - for inspection by variables and for inspection by variables and attributes (all items from the sample are inspected by variables; the remainder of rejected lots is inspected by attributes). These plans were created by the author of this paper and published in the Statistical Papers. These new plans were compared with the corresponding Dodge-Romig LTPD plans for the inspection by attributes from the economic point of view. From the results of the numerical investigations, it follows that under the same protection of consumer the LTPD plans for the inspection by variables are in many situations more economical than the corresponding Dodge-Romig attribute sampling plans (saving of the inspection cost is 80% in any cases). The dependence of the saving of the inspection cost on the acceptance sampling characteristics is analyzed in the paper.

Suggested Citation

  • Jindřich KLŮFA, 2015. "Economic aspects of the LTPD single sampling inspection plans," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(7), pages 326-331.
    • Handle: RePEc:caa:jnlage:v:61:y:2015:i:7:id:186-2014-agricecon
    DOI: 10.17221/186/2014-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. J. Klufa, 2010. "Exact calculation of the Dodge-Romig LTPD single sampling plans for inspection by variables," Statistical Papers, Springer, vol. 51(2), pages 297-305, June.
    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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