Economic Designing of Modified Chain Sampling Plan under Weibull Distribution using Bayesian Method
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2019 Issue 1S4, p700-705
Abstract
The methodology to design modified chain sampling plan with economical aspect for assuring product's mean life under Weibull distribution is considered in this paper. Bayesian approach is employed to estimate the unknown failure probability involved in economic designing. The ratio between product's true mean life and specified mean life is assumed to be product's quality. The optimal parameters are chosen so that they simultaneously satisfy the risks of both producer and consumer with minimum cost using the optimization problem. In addition, different shape parameters are used in optimal parameters determination. Real life data is used to explain the execution of the proposed plan and the performance of the proposed plan is compared with other existing plan using average outgoing quality curve.
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