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

Selection of single sampling attribute plan for given AQL and LQL involving minimum risks using... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

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

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References (32)

Publisher
Emerald Publishing
Copyright
Copyright © 2013 Emerald Group Publishing Limited. All rights reserved.
ISSN
0265-671X
DOI
10.1108/02656711311288414
Publisher site
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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.

Journal

International Journal of Quality & Reliability Management – Emerald Publishing

Published: Jan 4, 2013

Keywords: Poisson distribution; Quality control; Sampling methods; Acceptable quality level; Attribute plan; Limiting quality level; Minimum risk plan; Single sampling; Weighted Poisson distribution

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