Designing Optimal Repetitive Sampling Plan Using Truncated Poisson distribution

Subramani Kandasamy¹ , Ambika Subramanian² , Haridoss Venugopal³

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.233-238, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.233238

Online published on Apr 30, 2019

Copyright © Subramani Kandasamy, Ambika Subramanian, Haridoss Venugopal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Acceptance sampling plan for attributes develop to control the quality, where both the consumers and the producers get benefit for better quality of the product. Repetitive group sampling plan is one of the most adoptable and cost effective sampling plan to get the product accepted with high quality level desired for production process. In this scenario overall risk to make wrong decision is reduced by considering the concept of truncation. Tables and a procedure for the acceptance and limiting level are developed to minimize the producers and consumers risks using the Truncated Poisson distribution. Optimality criteria are compared using Operating Characteristics curve with the already existing work.

Key-Words / Index Term :
Attribute plan, OC curve, Producer’s Risk, consumer risk, Repetitive Group Sampling (RGS), Truncated Poisson Distribution

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