Abstract
PurposeThe purpose of this paper is to develop a group acceptance sampling plan (GASP) for a resubmitted lot when the lifetime of a product follows odds exponential log logistic distribution introduced by Rao and Rao (2014). The parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time. The authors compare the proposed plan with the ordinary GASP, and the results are illustrated with live data example.Design/methodology/approachThe parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time.FindingsThe authors determined the group size and acceptance number.Research limitations/implicationsNo specific limitations.Practical implicationsThis methodology can be applicable in industry to study quality control.Social implicationsThis methodology can be applicable in health study.Originality/valueThe parameters of the proposed plan such as minimum group size and acceptance number are determined for a pre-specified consumer’s risk, number of testers and the test termination time.
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