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Developing optimal group acceptance sampling plans based on Weibull distribution with limited risks

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This research develops a group acceptance sampling plan using Weibull distribution, minimizing producer and consumer risks.

The proposed group acceptance sampling plan outperforms traditional two-point plans by reducing sample size significantly.
Integer nonlinear programming was utilized to optimize the number of groups and the acceptance number effectively.
Analysis shows that the group scheme is more efficient than single sampling in cost and decision time.
Results for the Weibull distribution apply to other lifetime models, expanding the methodology's utility.

Qomi et al. (2025) studied this question.

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