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Selection of the Double Sampling Plan Through Quality Regions

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Abstract

In this article we have developed new method for designing sampling plans based on range of quality instead of pointwise description of quality by invoking a quality regions approach. Maximum allowable percent defective (MAPD) is also considered for the selection of parameters for a double sampling plan. New quality descriptors called operating ratios are introduced to design the sampling plan, and related information is provided. Illustrations are provided for ready-made use of the tables in shop-floor situations.

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References

  • Cameron, J. M. 1952. Tables for constructing and for computing the operating characteristics of single sampling plans. Industrial Qual. Control, 9(1), 37–39.

    Google Scholar 

  • Craig, C. C. 1981. A note on the construction of double sampling plans. J. Qual. Technol., 13(3), 192–194.

    Article  Google Scholar 

  • Divya, P. R. 2009 Contributions to the study on sampling plans through quality Interval and their applications. PhD thesis, Bharathiar University, Tamilnadu, India.

    Google Scholar 

  • Dodge, H. F., and H. G. Romig. 1959. Sampling inspection tables, 2nd ed. New York, NY, Wiley.

    MATH  Google Scholar 

  • Govindaraju, K., and K. Subramani. 1992. Selection of double sampling attributes plan for given acceptable quality level and limiting quality level. Commun. Stat.-Simulation Comput., 21(1), 221–242.

    Article  Google Scholar 

  • Guenther, W. C. 1970. A procedure for finding double sampling plans for attributes. J. Qual. Technol., 2(4), 219–225.

    Article  Google Scholar 

  • Hald, A. 1981. Statistical theory of sampling inspection by attributes. New York, NY, Academic Press.

    MATH  Google Scholar 

  • Hamaker, H. C. 1979. Acceptance sampling for percent defective by variables and attributes. J. Qual. Technol., 11(3), 139–148.

    Article  Google Scholar 

  • Hamaker, H. C., and R. Vanstrick. 1955. The efficiency of double sampling for attributes. J. Am. Stat. Assoc., 50, 830–849.

    Article  Google Scholar 

  • Kuralmani, V. 1992. Studies on designing minimum inspection attribute acceptance sampling plans. PhD thesis, Department of Statistics, Bharathiar University, Tamilnadu, India.

    Google Scholar 

  • Mandelson, J. 1962. The statistician, the engineer and sampling plans. Industrial Qual. Control, 19, 12–15.

    Google Scholar 

  • Mayer, P. L. 1967. A note on the sum of Poisson probabilities and its applications. Ann. Inst. Stat. Math., 19, 537–542.

    Article  Google Scholar 

  • Schilling, E. G., and L. I. Johnson. 1980. Tables for the construction of matched single, double and multiple sampling plans with application to MIL-STD-105D. J. Qual. Technol., 12(4), 220–229.

    Article  Google Scholar 

  • Soundararajan, V. 1975. Maximum allowable percent defective (MAPD) single sampling inspection by attributes plan. J. Qual. Technol., 7(4), 173–182.

    Article  Google Scholar 

  • Soundararajan, V., and S. D. Arumainayagam. 1990. A generalized procedure for selection of attribute double sampling plan. Commun. Stat. Simulation Computation., 19(3), 1015–1034.

    Article  Google Scholar 

  • Soundararajan, V., and D. Muthuraj. 1989. Single sampling plan indexed by point of control and inflection point. Commun. Stat. Theory Methods, 14(10), 2393–2410.

    Article  Google Scholar 

  • Suresh, K. K., and P. R. Divya. 2009. Selection of single sampling plan through decision region. Int. J. Appl. Math. Stat., 14(S09), 66–78.

    MathSciNet  Google Scholar 

  • Suresh, K. K., and V. Sangeetha, 2010. Selection of repetitive deferred sampling Plan through quality region. Int. J. Stat. Systems, 5(3), 379–389.

    Google Scholar 

  • Suresh, K. K., and V. Kaviyarasu. 2008. Certain results and tables relating QSS-1 with conditional RGS plan. IAPQR Trans., 33(1), 61–70.

    Google Scholar 

  • Suresh, K. K., and R. Saminathan. 2007. Selection of multiple repetitive group sampling plan involving maximum allowable percent defective and maximum allowable average outgoing quality. Int. J. Stat. Manage. Systems, 2(1–2), 22–30.

    MathSciNet  Google Scholar 

  • Suresh, K. K., and T. Srivenkataramana. 1996. Selection of single sampling plans using producer and consumer quality levels. J. Appl. Stat. Sci., 3(4), 273–280.

    MATH  Google Scholar 

  • Vedaldi, R. 1986. A new criterion for the construction of single sampling inspection plans by attributes., Riv. Stat. Appl., 19(3), 235–244.

    Google Scholar 

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Authors and Affiliations

  1. Department of Mathematics, Karunya University, Coimbatore, 641114, Tamilnadu, India

    V. Sangeetha

  2. Department of Statistics, Bharathiar University, Tamilnadu, India

    K. K. Suresh

Authors
  1. V. Sangeetha
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  2. K. K. Suresh
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Correspondence to V. Sangeetha.

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Sangeetha, V., Suresh, K.K. Selection of the Double Sampling Plan Through Quality Regions. J Stat Theory Pract 6, 239–250 (2012). https://doi.org/10.1080/15598608.2012.673866

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  • DOI: https://doi.org/10.1080/15598608.2012.673866

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