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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:2, February, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(2): 3759-3768
DOI: https://doi.org/10.20546/ijcmas.2018.702.445


Cost Optimization Using Acceptance Sampling Plan: A Statistical Analysis with Single Sample
Sandeep Kumar*
Department of Statistics, Hindu College, University of Delhi, Delhi – 110007, India
*Corresponding author
Abstract:

Economic plan play an important role for every product. The priority of every sampling plan is the reduction in time and cost, which totally depends on the sampling plan, a decision regarding rejection and acceptance of the lot is taken on the basis of a single sample. The purpose of this paper is to design an economic model to obtain optimal total cost on the basis of average total inspection (ATI).In a single sampling plan, one sample of items is selected at random from a lot and the disposition of the lot is determined from the resulting information. These plans are usually denoted as (n, c) plans for a sample size n, where the lot is rejected if there are more than c defectives. The present study deals with the development of a mathematical model that can help a producer to find a single sampling plan that minimizes the producers total cost (inspection and failure costs and post-sale failure cost) and satisfies both the producers and consumers quality risk requirements.


Keywords:  AQL,LTPD,ATI,AOQ,AOQL, Statistical quality control, Single sampling plan,

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How to cite this article:

Sandeep Kumar. 2018. Cost Optimization Using Acceptance Sampling Plan: A Statistical Analysis with Single Sample.Int.J.Curr.Microbiol.App.Sci. 7(2): 3759-3768. doi: https://doi.org/10.20546/ijcmas.2018.702.445
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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