로지스틱 회귀분석을 이용한 승강기 유지관리품질 사전예측모형 개발 및 세부 품질 인자의 영향력 평가

• 영문명: Development of a Pre-prediction Model for Elevator Maintenance Quality and Evaluation of the Influence of Detailed Quality Factors Using Logistic Regression Analysis
• 발행기관: 한국산업경영시스템학회
• 저자명: 노경민 한관희
• 간행물 정보: 『산업경영시스템학회지』제46권 제4호, 133~141쪽, 전체 9쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2023.12.31

영문 초록

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 management 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.

목차

1. 서론

2. 이론적 배경과 선행연구

3. 모형 적용을 위한 데이터 활용

4. 승강기 유지관리품질 사전예측모형

5. 세부 품질 인자의 영향력 평가

6. 결론

키워드

Elevator Safety Management Act Odds Ratio Analysis Logistic Regression Analysis