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Reliability sampling plan for repairable items following general failure process and its statistical analysis

Title
Reliability sampling plan for repairable items following general failure process and its statistical analysis
Authors
Lee H.Cha J.H.
Ewha Authors
차지환
SCOPUS Author ID
차지환scopus
Issue Date
2017
Journal Title
Statistics
ISSN
0233-1888JCR Link
Citation
pp. 1 - 20
Keywords
generalized Polya processintensity functionrepairable itemstochastic orderVariables sampling plan
Publisher
Taylor and Francis Ltd.
Indexed
SCI; SCIE; SCOPUS scopus
Abstract
Acceptance sampling plan has become an essential tool in the statistical quality control. Traditionally, most acceptance sampling plans have been developed for non-repairable items. Recently in Cha [Variables acceptance reliability sampling plan for repairable items. Statistics. 2015;49:1141–1156], variables acceptance reliability sampling plan for repairable items has been developed assuming that the failure process follows the non-homogeneous Poisson process (NHPP). In this paper, we assume that the failure process follows a new counting process which is a generalized version of the NHPP. Furthermore, it is shown that the developed sampling plan improves the reliability characteristic of the population of items which have passed the testing procedure. An illustrative example is also provided. © 2017 Informa UK Limited, trading as Taylor & Francis Group
DOI
10.1080/02331888.2017.1298599
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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