Abstract

This paper is on the study of continuous acceptance sampling plans established primarily for the acceptance or rejection of bulk finished products. Several methods can be used for quality control. Some methods are commonly used for destructive testing where 100% verification is not possible, such as in the production of cookies, marbles, batteries, light bulbs, etc. In this paper, we optimize the CASP-CUSUM scheme under the assumption that the continuous variable under consideration follows a truncated Half-Logistic Distribution. The Half-Logistic Distribution is a continuous distribution and it is extending well-known distributions as well as provides great flexibility to model specific real data and it is very easy in mathematical properties. We propose an optimization of the CASP-CUSUM scheme based on the numerical results obtained by varying the parameter values of the Half-Logistic Distribution.

References

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