Generalized multiple dependent state sampling plans for coefficient of variation

Gadde Srinivasa Rao, Muhammad Aslam, Rehan Ahmad Khan Sherwani, Muhammad Ahmed Shehzad and Chi-Hyuck Jun

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 20, 6990-7005

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.

Date: 2022
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DOI: 10.1080/03610926.2020.1869989

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