Pushpa Publishing House

Abstract:
Risk based sampling plans are traditional in nature, drawing upon producer and consumer risks as depicted by the operating characteristic curve for any sampling plan. When a producer and a consumer are negotiating for quality limits and designing sampling plans, 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 with the actual process.

This paper presents a new procedure for the formulation of a sampling plan using acceptance probability with Gamma, and Beta prior distribution for product quality. Tables are developed for the selection of the plan parameters for sampling plan. Illustrations are also provided for the implementation of the plan selection procedures.

Keywords and phrases: chain sampling plan, Bayesian sampling plan, certain mathematical measures.

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P-ISSN: 0972-0863

E-ISSN: 3048-7358

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