Hubbard_JRRT Paper.pdf (551.06 kB)
From preventative to predictive maintenance: The organisational challenge
journal contribution
posted on 2019-08-15, 14:05 authored by Luminita Ciocoiu, Carys Siemieniuch, Ella-Mae HubbardElla-Mae Hubbard© 2017, © IMechE 2017. Introduction of new technology (technology implementation) within an organisation can have wide reaching implications, beyond the effectiveness and efficiency savings that are typically the aim of such an endeavour. The ‘Health and Prognostic Assessment of Railway Assets for Predictive Maintenance’ project developed a prognostic tool, which aimed to support enhancement of the London underground’s remote condition monitoring system to support change from reactive and preventative to predictive maintenance, in order to increase effectiveness and efficiency and reduce lost customer hours. This paper investigates the organisational challenges associated with the introduction of such a tool. The paper describes the approach adopted to model the extant maintenance processes (focusing on role mapping) and associated organisational structures which revealed issues such as unclear processes, poor communication and data sharing links and problems with delineation of responsibility for decision making. It also describes the development of a new maintenance process model that incorporates the additional functionality of the new prognostic tool, taking in to account changes of roles, responsibilities, organisational processes and activities.
Funding
Innovate UK and the Rail Safety and Standards Boards
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid TransitVolume
231Issue
10Pages
1174 - 1185Publisher
SAGEVersion
- AM (Accepted Manuscript)
Rights holder
© IMechEPublisher statement
This paper was accepted for publication in the journal Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit and the definitive published version is available at https://doi.org/10.1177/0954409717701785Acceptance date
2017-01-22Publication date
2017-05-07Copyright date
2017ISSN
0954-4097eISSN
2041-3017Publisher version
Language
- en