Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Performance Analysis of Urban Railway Rolling Stock Condition-based Maintenance Process Redesign Applying Mobile-IoT

모바일 사물인터넷을 적용한 도시철도 차량 상태기반 유지보수 프로세스 재 설계안 성과 분석

  • Received : 2022.11.08
  • Accepted : 2022.12.20
  • Published : 2022.12.31
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Abstract

In this paper, we study structural changes and performance gains in condition-based maintenance process redesign when mobile IoT technology is embedded into urban railway rolling stock. We first develop condition-based maintenance To-Be process model in accordance with the IoT deployment scheme. Secondly, we draw upon theoretical framework of redesign process analysis to develop performance evaluation method suitable to predictive maintenance shift from As-Is ordinary maintenance practice. Subsequently, To-Be process performance evaluations are conducted adopting both the quantitative and qualitative method for time, cost, and dependability dimensions. The results ascertain the considerable benefits captured through detection abnormality prior to actual rolling stock failure occurrence, and details of performance improvements and enhancement of standardization level is revealed. The procedures and results presented in this paper offers useful insights in the fields of IoT economic analysis, condition based maintenance, and business process redesign.

Keywords

Acknowledgement

이 논문은 2017년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2017S1A5A2A03068426)

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