Order statistics based sampling design for reliability sampling

We consider the problem of designing variables-sampling plans for life test-ing. Leiberman and Resnikoff, Schneider and many others have considered this problem for location-scale type lifetime distributions. However, in prac-tice often the actual lifetime distribution is unknown. In this article, w...

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Main Authors: Low, Chan Kee, Balasooriya, Uditha
Other Authors: Nanyang Business School
Format: Research Report
Published: 2008
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Online Access:http://hdl.handle.net/10356/7041
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-70412023-05-19T07:31:17Z Order statistics based sampling design for reliability sampling Low, Chan Kee Balasooriya, Uditha Nanyang Business School DRNTU::Business We consider the problem of designing variables-sampling plans for life test-ing. Leiberman and Resnikoff, Schneider and many others have considered this problem for location-scale type lifetime distributions. However, in prac-tice often the actual lifetime distribution is unknown. In this article, we pro-pose a procedure based on order statistics for designing a reliability sampling plan which is applicable to any lifetime distribution. It is shown that, under the proposed procedure, subject to MIL-STD-105D specifications, only a few specimens need to be tested until failure, thereby reducing total test time con-siderably. A large-scale simulation study shows that the proposed procedure performs well. Two examples are given to illustrate the procedure. Keywords: Acceptance sampling; Order statistics; Life testing; Censoring; OC Curve 2008-09-18T07:28:36Z 2008-09-18T07:28:36Z 2006 2006 Research Report http://hdl.handle.net/10356/7041 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Business
spellingShingle DRNTU::Business
Low, Chan Kee
Balasooriya, Uditha
Order statistics based sampling design for reliability sampling
description We consider the problem of designing variables-sampling plans for life test-ing. Leiberman and Resnikoff, Schneider and many others have considered this problem for location-scale type lifetime distributions. However, in prac-tice often the actual lifetime distribution is unknown. In this article, we pro-pose a procedure based on order statistics for designing a reliability sampling plan which is applicable to any lifetime distribution. It is shown that, under the proposed procedure, subject to MIL-STD-105D specifications, only a few specimens need to be tested until failure, thereby reducing total test time con-siderably. A large-scale simulation study shows that the proposed procedure performs well. Two examples are given to illustrate the procedure. Keywords: Acceptance sampling; Order statistics; Life testing; Censoring; OC Curve
author2 Nanyang Business School
author_facet Nanyang Business School
Low, Chan Kee
Balasooriya, Uditha
format Research Report
author Low, Chan Kee
Balasooriya, Uditha
author_sort Low, Chan Kee
title Order statistics based sampling design for reliability sampling
title_short Order statistics based sampling design for reliability sampling
title_full Order statistics based sampling design for reliability sampling
title_fullStr Order statistics based sampling design for reliability sampling
title_full_unstemmed Order statistics based sampling design for reliability sampling
title_sort order statistics based sampling design for reliability sampling
publishDate 2008
url http://hdl.handle.net/10356/7041
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