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Generalized multiple dependent state sampling plans for coefficient of variation

Author

Listed:
  • Gadde Srinivasa Rao
  • Muhammad Aslam
  • Rehan Ahmad Khan Sherwani
  • Muhammad Ahmed Shehzad
  • Chi-Hyuck Jun

Abstract

Sampling plans using the coefficient of variation (CV) attract increasing attention by many authors in the literature due to its importance to measure the product quality. A generalized multiple dependent state (GMDS) sampling plan for accepting a lot is proposed based on the coefficient of variation when a quality characteristic comes from a normal distribution. The optimal plan parameters of the proposed plan are solved by a nonlinear optimization model, which minimizes the sample size required for inspection while satisfying the given producer’s risk and the consumer’s risk at the same time. A comparative study of the proposed GMDS sampling plan over the two existing sampling plans is considered. A real example is given to demonstrate the proposed plan.

Suggested Citation

  • Gadde Srinivasa Rao & Muhammad Aslam & Rehan Ahmad Khan Sherwani & Muhammad Ahmed Shehzad & Chi-Hyuck Jun, 2022. "Generalized multiple dependent state sampling plans for coefficient of variation," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 51(20), pages 6990-7005, October.
    • Handle: RePEc:taf:lstaxx:v:51:y:2022:i:20:p:6990-7005
    DOI: 10.1080/03610926.2020.1869989
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