Risk Analysis of Railway Infrastructure Asset using Hazard Identification and FMEA Analysis on Track Asset
Year: 2024
Type: article
Abstract: Railway transportation in Indonesia is the primary choice due to its large capacity and high safety standards. However, maintaining the reliability of the infrastructure system requires careful safety-focused maintenance and risk management. Therefore, this research aims to investigate the risks associated with railway infrastructure, focusing on hazard identification and Failure Mode and Effects Analysis (FMEA) on railway tracks. Through the collection of primary data via questionnaires, interviews, discussions, and secondary data from literature studies, the analysis revealed 28 significant hazards related to railway infrastructure. It was found that eleven failure modes had RPN values at the high-risk level and nine at the moderate-risk level, while only eight failure modes at the low-risk level. The best four failure modes with the highest risk were broken rail, skilu, buckling rail on railway geometry and cracked/defective rail. Recommendations for improvement were provided to reduce the RPN values from high and moderate-risk levels to moderate and low-risk levels and enhance railway safety. This analysis provides a solid foundation for developing more effective risk management strategies in the future, contributing to the understanding and improvement of railway infrastructure safety and facilitating effective maintenance strategies for sustainable railway operations.
Authors: Angga Tri Maulana, Satrio Wicaksono
Institution: Bandung Institute of Technology
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403991592