Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge

The “Health and Prognostic Assessment of Railway Assets for Predictive Maintenance” project is developing a Remote Condition Monitoring (RCM) system to manage asset degradation to enable predictive maintenance. Despite the benefits of the RCM systems, many of the programmes that seek to introduce th...

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Main Authors:	Luminita Ciocoiu, Ella-Mae Hubbard, Carys Siemieniuch
Format:	Default Conference proceeding
Published:	2015
Subjects:	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/17541
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id	rr-article-9552584
record_format	Figshare
spelling	rr-article-95525842015-01-01T00:00:00Z Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge Luminita Ciocoiu (2835215) Ella-Mae Hubbard (1252581) Carys Siemieniuch (1251999) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified The “Health and Prognostic Assessment of Railway Assets for Predictive Maintenance” project is developing a Remote Condition Monitoring (RCM) system to manage asset degradation to enable predictive maintenance. Despite the benefits of the RCM systems, many of the programmes that seek to introduce them fail. Previous research shows that, beside technological challenges, there are organisational factors that contribute to the success of these programmes; the paper presents a three step approach taken to meet these challenges and some initial findings of the research. 2015-01-01T00:00:00Z Text Conference contribution 2134/17541 https://figshare.com/articles/conference_contribution/Implementation_of_remote_condition_monitoring_system_for_predictive_maintenance_an_organisational_challenge/9552584 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Luminita Ciocoiu Ella-Mae Hubbard Carys Siemieniuch Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
description	The “Health and Prognostic Assessment of Railway Assets for Predictive Maintenance” project is developing a Remote Condition Monitoring (RCM) system to manage asset degradation to enable predictive maintenance. Despite the benefits of the RCM systems, many of the programmes that seek to introduce them fail. Previous research shows that, beside technological challenges, there are organisational factors that contribute to the success of these programmes; the paper presents a three step approach taken to meet these challenges and some initial findings of the research.
format	Default Conference proceeding
author	Luminita Ciocoiu Ella-Mae Hubbard Carys Siemieniuch
author_facet	Luminita Ciocoiu Ella-Mae Hubbard Carys Siemieniuch
author_sort	Luminita Ciocoiu (2835215)
title	Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
title_short	Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
title_full	Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
title_fullStr	Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
title_full_unstemmed	Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
title_sort	implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
publishDate	2015
url	https://hdl.handle.net/2134/17541
_version_	1797737492073414656

Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge

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