Reliability sampling plan for repairable items following general failure process and its statistical analysis
- 주제(키워드) generalized Polya process , intensity function , repairable item , stochastic order , Variables sampling plan
- 등재 SCIE, SCOPUS
- 발행기관 Taylor and Francis Ltd.
- 발행년도 2017
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000145600
- 본문언어 영어
- Published As http://dx.doi.org/10.1080/02331888.2017.1298599
- 저작권 이화여자대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
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
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