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Title: Using the role matrix technique to identify organisational changes: a practical study within London Underground escalators maintenance service
Authors: Ciocoiu, Luminita
Siemieniuch, Carys E.
Hubbard, Ella-Mae
Keywords: Remote condition monitoring
Organisational change
Enterprise transformation
Decision support
Role matrix technique
Issue Date: 2015
Publisher: © IEEE
Citation: CIOCOIU, L., SIEMIENIUCH, C.E. and HUBBARD, E.-M., 2015. Using the role matrix technique to identify organisational changes: A practical study within London Underground escalators maintenance service. IN: First IEEE International Symposium on Systems Engineering, Rome, Sept. 28-30, pp. 375-380.
Abstract: Increasing financial and service demand pressures drives the London Underground maintenance business to shift its focus from reactive to proactive maintenance. Part of the strategy is to enhance the current condition monitoring capability through the introduction of intelligent remote condition monitoring systems that could provide advisory information regarding the optimum time to undertake maintenance interventions. In this paper we present a case study that utilizes the Role Matrix Technique to identify the organisational challenges associated with the implementation of a health and prognostic assessment system, which uses remote condition monitoring data, within the London Underground escalator maintenance service.
Description: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Version: Accepted for publication
DOI: 10.1109/SysEng.2015.7302785
URI: https://dspace.lboro.ac.uk/2134/19113
Publisher Link: http://dx.doi.org/10.1109/SysEng.2015.7302785
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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