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Development of a Pre-prediction Model for Elevator Maintenance Quality and Evaluation of the Influence of Detailed Quality Factors Using Logistic Regression Analysis

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

  • Kyung-Min Roh (School of Industrial System Engineering, Gyeongsang National University) ;
  • Kwan-Hee Han (School of Industrial System Engineering, Gyeongsang National University)
  • 노경민 (경상국립대학교 산업시스템공학과) ;
  • 한관희 (경상국립대학교 산업시스템공학과)
  • Received : 2023.11.29
  • Accepted : 2023.12.14
  • Published : 2023.12.31

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 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.

Keywords

References

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