A hybrid framework for reliability improvement of a rolling stock door subsystem
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Abstract
Rolling stock (RS) service reliability is a key performance indicator
for any railway operator and customer satisfaction. Failures to complete scheduled
services by trains due to inherent system failures incur penalty charges. Therefore,
a reliability improvement as a continuous improvement strategy is an essential
initiative to ensure that the required reliability and punctuality performance of
RS systems are achieved. In this paper, a hybrid framework that incorporates
several techniques of reliability, risk and maintenance techniques is used as a
reliability growth initiative to select improvement actions for an existing rolling
stock passenger door subsystem. The outcome of the analysis shows that the
component overhaul of a door engine system provides realistic reliability growth
with optimum turnaround time
for any railway operator and customer satisfaction. Failures to complete scheduled
services by trains due to inherent system failures incur penalty charges. Therefore,
a reliability improvement as a continuous improvement strategy is an essential
initiative to ensure that the required reliability and punctuality performance of
RS systems are achieved. In this paper, a hybrid framework that incorporates
several techniques of reliability, risk and maintenance techniques is used as a
reliability growth initiative to select improvement actions for an existing rolling
stock passenger door subsystem. The outcome of the analysis shows that the
component overhaul of a door engine system provides realistic reliability growth
with optimum turnaround time
Bibliographical metadata
Original language | English |
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Title of host publication | Proceedings of IncoME-V & CEPE Net 2020 |
Editors | Dong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K Sinha, Andrew David Ball |
Place of Publication | Switzerland |
Publisher | Springer Nature |
Chapter | 11 |
Pages | 101-107 |
Number of pages | 7 |
Volume | 105 |
ISBN (Electronic) | 9783030757939 |
ISBN (Print) | 9783030757922 |
Publication status | Published - 16 May 2021 |
Event | 5th International Conference on Maintenance Engineering: IncoME-V - Zhuhai, China Event duration: 15 Apr 2020 → 17 Apr 2020 |
Publication series
Name | Mechanisms and Machine Science |
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Volume | 105 |
Conference
Conference | 5th International Conference on Maintenance Engineering |
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Abbreviated title | IncoME-V |
Country/Territory | China |
City | Zhuhai |
Period | 15/04/20 → 17/04/20 |