Selection of single sampling attribute plan for given AQL and LQL involving minimum risks using weighted Poisson distribution

Kandasamy Subramani (Department of Statistics, Government Arts College, Coimbatore, India)
Venugopal Haridoss (Science and Humanities Department, Kumaraguru College of Technology, Coimbatore, India)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Publication date: 4 January 2013

Abstract

Purpose

The purpose of this paper is to present the single sampling attribute plan for given acceptance quality level (AQL) and limiting quality level (LQL) involving minimum sum of risks using weighted Poisson distribution.

Design/methodology/approach

For the given AQL and LQL, sum of producer's and consumer's risks have been attained. Based on weighted Poisson distribution, the sum of these risks has been arrived at, along with the acceptance number and the rejection number. Also, the operating characteristic function for the single sampling attribute sampling plan, using weighted Poisson distribution, has been derived.

Findings

In the final inspection, the producer and the consumer represent the same party. So, the sum these two risks should be minimized. In this paper, the sum of risks has been tabulated using weighted Poisson distribution for different operating ratios. These tabulated values are comparatively less than the sum of risks derived using Poisson distribution.

Originality/value

The sampling plan presented in this paper is particularly useful for testing the quality of finished products in shop floor situations.

Keywords

Citation

Subramani, K. and Haridoss, V. (2013), "Selection of single sampling attribute plan for given AQL and LQL involving minimum risks using weighted Poisson distribution", International Journal of Quality & Reliability Management, Vol. 30 No. 1, pp. 47-58. https://doi.org/10.1108/02656711311288414

Download as .RIS

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.