Abstract

This study constructs new two-sided group chain acceptance sampling plans (NTSGChSP-1) for generalized exponential distribution using minimum angle method. The minimum angle method is slightly advantageous over the previous methods of minimizing consumer’s and procedure’s risk, as it considers the optimal number of groups, g associated with the smallest angle, θ. In theory, an operating characteristics (OC) curve created with the smallest angle, θ closely resembles the ideal OC curve as the OC curve protects both parties, producer and consumer. The findings show that the optimal number of groups, g depends on the combinations of the design parameters. Plus, there is also a pattern for the optimal number of groups, g, where the optimal number of groups, g decreases as the specified constant, a increases. The two significant findings eventually assist the experimenter in designing the experiment on how many number of items should be selected for the inspection before making a final decision.

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