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Acceptance sampling plans based on truncated life tests for Rama distribution

Acceptance sampling plans based on truncated life tests for Rama distribution PurposeLifetime data are used in many different applied sciences, like biomedicine, engineering, insurance and finance and others. The purpose of this paper is to develop a new acceptance sampling plans for Rama distribution when the mean lifetime test is truncated at a pre-determined time. The minimum sample sizes required to assert the specified life mean is obtained for a given customer’s risk. The operating characteristic function values of the sampling plans and producer’s risk are calculated.Design/methodology/approachThe results are illustrated using numerical examples and a real data set is considered to illustrate the performance of the suggested acceptance sampling plans and how it can be used for the industry applications.FindingsThis paper shows a new acceptance sampling plans based on Rama distribution in the particular case when the mean life time test is truncated.Originality/valueThe results calculated in this paper demonstrate the differences between OC values for different distributions taken into account. In particular, OC values of Rama distribution are found to be less than the proposed distribution counterparts. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Quality & Reliability Management Emerald Publishing

Acceptance sampling plans based on truncated life tests for Rama distribution

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0265-671X
DOI
10.1108/IJQRM-04-2018-0107
Publisher site
See Article on Publisher Site

Abstract

PurposeLifetime data are used in many different applied sciences, like biomedicine, engineering, insurance and finance and others. The purpose of this paper is to develop a new acceptance sampling plans for Rama distribution when the mean lifetime test is truncated at a pre-determined time. The minimum sample sizes required to assert the specified life mean is obtained for a given customer’s risk. The operating characteristic function values of the sampling plans and producer’s risk are calculated.Design/methodology/approachThe results are illustrated using numerical examples and a real data set is considered to illustrate the performance of the suggested acceptance sampling plans and how it can be used for the industry applications.FindingsThis paper shows a new acceptance sampling plans based on Rama distribution in the particular case when the mean life time test is truncated.Originality/valueThe results calculated in this paper demonstrate the differences between OC values for different distributions taken into account. In particular, OC values of Rama distribution are found to be less than the proposed distribution counterparts.

Journal

International Journal of Quality & Reliability ManagementEmerald Publishing

Published: Aug 5, 2019

References