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Selection of modified quick switching systems for given acceptable and limiting quality levels with minimum risks using weighted poisson distribution

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  • Subramani Kandasamy

    (Department of Statistics, Government Arts College, Coimbatore – 641018, India)

  • Haridoss Venugopal

    (Science and Humanities Department (Mathematics division), Kumaraguru College of Technology, Coimbatore – 641049, India)

Abstract

Since the first acceptance sampling plans have been developed 80 years ago, a number of selection principles have emerged. The majority of these principles are characterized by the fact that they look upon producer and consumer as two opposing parties. However, in many occasions, e.g., in final inspection, producer and consumer represent the same party and, therefore, the used sampling plan should not make an attempt to discriminate between their interests. In this case the interest is to avoid wrong decisions, i.e., reject product of sufficient quality and accept product of insufficient quality. Thus, the natural objective in these cases is to use overall risk for a wrong decision as optimization criteria. In this paper, a table and procedure are given for finding the Modified Quick Switching Systems QSS − m(n;CN, CT) involving minimum sum of producer's and consumer's risks for specified Acceptable Quality Level and Limiting Quality Level using weighted Poisson distribution.

Suggested Citation

  • Subramani Kandasamy & Haridoss Venugopal, 2013. "Selection of modified quick switching systems for given acceptable and limiting quality levels with minimum risks using weighted poisson distribution," Stochastics and Quality Control, De Gruyter, vol. 28(2), pages 135-149, December.
    • Handle: RePEc:bpj:ecqcon:v:28:y:2013:i:2:p:15:n:8
    DOI: 10.1515/eqc-2013-0021
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    References listed on IDEAS

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    1. Cameron, A Colin & Johansson, Per, 1997. "Count Data Regression Using Series Expansions: With Applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 203-223, May-June.
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