| Summary: | The established group chain acceptance sampling plans (GChSP-1) functions with five acceptance criteria, while the
modified group of chain acceptance sampling plans (MGChSP-1) operates with three acceptance criteria. Since the
acceptance criteria affect the performances of the sampling plans, therefore, this article suggests a balanced approach
by introducing a new group of chain acceptance sampling plans (NGChSP-1), where it functions with four acceptance
criteria. The NGChSP-1 is developed by using minimum angle method which caters for producer’s and consumer’s risks.
The generalized exponential distribution is selected as the lifetime distribution and the simulation for the NGChSP-1 is
conducted at various values of design parameters using the Scilab programming. The finding shows that the optimal
number of groups and the corresponding smallest theta for NGChSP-1 are smaller compared to those for the GChSP-1.
For illustration purposes, the NGChSP-1 is then applied to real data of air conditioning equipment.
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