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Journal ArticleDOI

Development of multiple deferred state sampling plan based on minimum risks using the weighted Poisson distribution for given acceptance quality level and limiting quality level

TLDR
In this article, a table and procedure are given for finding the multiple deferred state-(c1, c2) sampling plan involving minimum sum of producer's and consumer's risks for specified acceptance quality level and limiting quality level using the weighted Poisson distribution.
Abstract
Since the first acceptance sampling plans have been developed 80 years ago, a number of selection principles have emerged. The majority of these principles are characterised by the fact that they look upon producer and consumer as two opposing parties. However, in many occasions, e.g., in final inspection, producer and consumer represent the same party and, therefore, the used sampling plan should not make an attempt to discriminate between their interests. In this case the interest is to avoid wrong decisions, i.e., reject product of sufficient quality and accept product of insufficient quality. Thus, the natural objective in these cases is to use overall risk for a wrong decision as optimisation criteria. Optimum result can be arrived further by the weighted Poisson distribution. In this paper, a table and procedure are given for finding the multiple deferred state-(c1, c2) sampling plan involving minimum sum of producer’s and consumer’s risks for specified acceptance quality level and limiting quality level using the weighted Poisson distribution. This is the case with so called ‘multiple deferred state-(c1, c2) sampling plan for given acceptance quality level and limiting quality level involving minimum risks using the weighted Poisson distribution’.

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Citations
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Journal ArticleDOI

Designing of multiple deferred state sampling plan for generalized inverted exponential distribution

TL;DR: In this article, a sampling plan called a multiple deferred state sampling plan for sentencing a lot based on the information of current and successive lot samples is proposed, based on this sampler.
Journal ArticleDOI

Optimal design of repetitive group sampling plans for Weibull and gamma distributions with applications and comparison to the Birnbaum–Saunders distribution

TL;DR: In this article, a multiple deferred state repetitive group sampling plan was proposed, which is a new sampling plan developed by incorporating the features of both multiple state sampling plan and repetitive sampling plan.
Proceedings ArticleDOI

Construction of fuzzy multiple deferred state sampling plan

TL;DR: F fuzzy multiple deferred state sampling plan by attribute is proposed in the presence of imprecise p by applying fuzzy sets theory and probability theory and results show that the proposed plan not only is well-defined, but also has higher discriminatory power than fuzzy single sampling plan with zero and one acceptance numbers.
Journal ArticleDOI

Multiple Deferred State Sampling Plan with Fuzzy Parameter

TL;DR: The comparisons between the FMDS(0,1,2) plan and the existing fuzzy single sampling plan (FSSP) with zero and one acceptance number show that the proposed plan is more powerful than the FSSP in distinguishing good and bad quality of the lot.
Journal ArticleDOI

Optimal Designing of a Multiple Deferred State Sampling Plan for Weibull Distributed Life Time Assuring Mean Life

TL;DR: An economic design of the proposed plan is discussed and the optimal plans are determined, such that both producer's and consumer's risks are satisfied with minimum total cost of inspection.
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