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로지스틱 회귀분석을 이용한 승강기 유지관리품질 사전예측모형 개발 및 세부 품질 인자의 영향력 평가Development of a Pre-prediction Model for Elevator Maintenance Quality and Evaluation of the Influence of Detailed Quality Factors Using Logistic Regression Analysis

Other Titles
Development of a Pre-prediction Model for Elevator Maintenance Quality and Evaluation of the Influence of Detailed Quality Factors Using Logistic Regression Analysis
Authors
노경민한관희
Issue Date
Dec-2023
Publisher
한국산업경영시스템학회
Keywords
Elevator Safety Management Act; Odds Ratio Analysis; Logistic Regression Analysis
Citation
한국산업경영시스템학회지, v.46, no.4, pp 133 - 141
Pages
9
Indexed
KCI
Journal Title
한국산업경영시스템학회지
Volume
46
Number
4
Start Page
133
End Page
141
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/69274
ISSN
2005-0461
2287-7975
Abstract
Approximately 40,000 elevators are installed every year in Korea, and they are used as a convenient means of transportation in daily life. However, the continuous increase in elevators has a social problem of increased safety accidents behind the functional aspect of convenience. There is an emerging need to induce preemptive and active elevator safety management by elevator manage- ment entities by strengthening the management of poorly managed elevators. Therefore, this study examines domestic research cases related to the evaluation items of the elevator safety quality rating system conducted in previous studies, and develops a statistical model that can examine the effect of elevator maintenance quality as a result of the safety management of the elevator management entity. We review two types: odds ratio analysis and logistic regression analysis models.
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공과대학 > Department of Industrial and Systems Engineering > Journal Articles
공학계열 > 산업시스템공학과 > Journal Articles

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