Senthilkumar, D and Sabarish, P (2022) Construction and Selection of Double Inspection Single Sampling Plan for an Independent Process Using Bivariate Poisson Distribution. Mathematics and Statistics, 10 (4). pp. 799-807.

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Abstract

There are more sampling concepts active in
production Industries, for inspecting the samples and
analysing performance of the population. Also the
sampling plans reduce errors in the production and produce
the error free products. In this study, construction and
selection of Double Inspection with reference to Single
Sampling Plan i.e., DISSP, by attribute are investigated by
using the Bivariate Poisson distribution. The Methodology,
DISSP, was proposed based on two quality characteristics
of the same sample size, and the planning parameters (n, c1,
c2) are based on the operating characteristics, the
conventional two-point condition by the planning table
parameters (AQL and LQL). It is based on selected quality
requirements and risks designed to allow manufacturers to
easily determine the required sample size and
corresponding acceptance criteria. A Comparison was
done based on the efficiency of the plan with an existing
single sampling plan and gave a numerical example to
expose the operating tables. Also, the study shows the
advantages of the proposed plan, and performance of the
curves like, Operating characteristics, Average Outgoing
Quality, and Average Total Inspection to expose the
proposed double inspection sampling plan.

Item Type: Article
Uncontrolled Keywords: Sampling Plan, Single Sampling Plan, DISSP, Operating Characteristics Curve, Average Outgoing Quality Curve
Divisions: PSG College of Arts and Science > Department of Statistics
Depositing User: Mr Team Mosys
Date Deposited: 06 Oct 2022 04:58
Last Modified: 06 Oct 2022 04:58
URI: http://ir.psgcas.ac.in/id/eprint/1568

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