Acceptance Sampling Plans Using Hypergeometric Theory for Finite Population Under Q-Weibull Distribution


Abstract


In this paper, truncated lifetime testing is considered, and new single acceptance sampling plans (SASP) are proposed assuming that the lifetime distribution is the q-Weibull distribution of a product.

Assuming a finite population size (limited population size, N); the inspection process for a single sampling plan is  begins by choosing a simple random sample from a given lot, then based on pre-assigned quality standards, the manager will decide to reject the lot if some items fail to meet the pre-assigned quality standards. Since the population is limited; then this experiment meets the hypergeometric distribution assumptions. The hypergeometric theory is applied to compute the probability of acceptance, and the procedure is used to compute the minimum sample size and the operating characteristics of the sampling plans. Also, a real data analysis is given to illustrate the applicability of the proposed plan in the industry.


DOI Code: 10.1285/i20705948v15n2p352

Keywords: Q-Weibull Distribution; Single Acceptance Sampling Plan; Reliability Testing; Operating Characteristic Function

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