Pushpa Publishing House

Abstract:
Risk based sampling plans are traditional in nature, drawing upon producer and consumer types of risks as depicted by the operating characteristic curve. When the between lot variation due to (non-removable) assignable causes is large compared with within-lot variation, Bayesian acceptance sampling should be considered for designing of any sampling plans. Bayesian sampling plan takes into account the past history of similar lots submitted previously for inspection. When producer and consumer are negotiating quality limits and sampling plan, it is important especially for the producer to find out the proportion of lots expected to be accepted under the plan when it is in operation.

This paper presents a procedure for two decision criteria Bayesian Sampling Plan based on Multiple Deferred State Sampling MDS(0, 1) Plan. The selection of plan parameters for MDS(0, 1) plan through Bayes solution considering double binomial as prior distribution is presented. An illustration is provided for an easy selection of plan parameters.

Keywords and phrases: multiple deferred state sampling, Bayes solution, double binomial prior distribution, break-even quality level.

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P-ISSN: 0972-0863

E-ISSN: 3048-7358

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