Optimal Designing of Chain Sampling Plan for Weibull Distributed Percentile Life Assurance
Abstract
In this paper, the optimal designing of one of the special purpose plans namely, chain sampling plan is proposed to ensure the Weibull distributed percentile life of the products. Percentile life is considered as the quality of the products. The optimal parameters of the proposed plan explicitly the sample size and the number of preceding lots required for sentencing the current lot are found out so that both producer and consumer risks are satisfied simultaneously with minimum sample size. A descriptive example is presented for explaining the implementation of the proposed plan. The discriminating power of proposed plan is compared with zero acceptance number single sampling plan and the significance of number of preceding lots required for current lot disposition is discussed by using operating characteristic curves.
Keywords
Full Text:
PDFDisclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.