View : 598 Download: 0

Full metadata record

DC Field Value Language
dc.contributor.advisor차지환-
dc.contributor.author이연호-
dc.creator이연호-
dc.date.accessioned2016-08-26T04:08:24Z-
dc.date.available2016-08-26T04:08:24Z-
dc.date.issued2015-
dc.identifier.otherOAK-000000111699-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/212608-
dc.identifier.urihttp://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000111699-
dc.description.abstractBurn-in과정이란 어떠한 제품이 출시되기 전 초기에 높은 고장률을 갖는 주기 동안에 고장을 발생시키게 함으로써 어떤 부품이 문제 있는지를 감지하고 불량품을 제거하는 과정이다. 특히 생산된 제품의 수명의 위험률은 Bathtub curve형태로 초기에 높은 고장을 보이므로 이러한 번인 과정은 효과적이라 할 수 있다. 지금까지의 많은 연구들에서는 주로 비용을 최소화 하는 적절한 Burn-in time을 찾는 문제에 관한 연구를 수행해 왔다. 하지만 본 논문에서는, 단지 비용만을 최소화 시키는 것이 아닌 여러 추가적인 제약조건 (1. 제품의 남은 평균수명을 얼마이상 2. 특정 미션시간을 살 확률이 얼마이상 3. 남은 수명에 대한 표준편차가 얼마이하) 또한 만족시키는 Optimal burn-in time을 찾는 연구를 수행한다.;Burn-in procedure is used to improve the quality of products. To burn-in a component or a system means to subject it to a period of simulated use prior to actual operation. In field operation only those components which survive the burn-in process will be used. Due to the high failure rate at the early stages of component’s life, burn-in has been widely accepted as an effective method of screening out early failures before systems are actually used in field operation. In order to determine the optimal burn-in time, traditionally, there have been two different approaches: (i) to minimize the expected cost (ii) to maximize system performance. The aim of this research is to find the burn-in time which not only optimizes one objective function but also satisfies additional several restrictions, such as those on (a) the mean residual life of burned-in item, (b) the survival probability of the burned-in device and (iii) the standard deviation of burned-in item's lifetime.-
dc.description.tableofcontentsⅠ. Introduction 1 Ⅱ. Preliminaries 2 Ⅲ. Review of preceding studies 3 A. Performance-Based Criteria 3 B. Cost Functions and Burn-in 4 Ⅳ. Cost Function 1 & Restriction 6 A. Decreasing failure rate functions 6 B. Bathtub-Shaped failure rate functions 13 Ⅴ. Cost Function 2 & Restriction 1 20 A. Decreasing failure rate functions 20 B. Bathtub-Shaped failure rate functions 27 Ⅵ. Cost Function 2 & Restriction 2 35 A. Bathtub-Shaped failure rate functions 35 Ⅶ. Conclusion 40 References 41 논문초록 43-
dc.formatapplication/pdf-
dc.format.extent924517 bytes-
dc.languageeng-
dc.publisher이화여자대학교 대학원-
dc.subject.ddc500-
dc.titleOptimal Burn-in Time Under Additional Restrictions-
dc.typeMaster's Thesis-
dc.format.pageviii, 43 p.-
dc.contributor.examiner차지환-
dc.contributor.examiner소병수-
dc.contributor.examiner오만숙-
dc.identifier.thesisdegreeMaster-
dc.identifier.major대학원 통계학과-
dc.date.awarded2015. 2-
Appears in Collections:
일반대학원 > 통계학과 > Theses_Master
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE