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D.R. Prescott, J.D. Andrews, "Modelling the Effects of Asset Management Decisions on a Railway Track Section", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 166, 2014. doi:10.4203/ccp.104.166

Keywords: asset management, railway track, Markov analysis, lifecycle analysis.

Summary

This paper reports on the development of a Markov model that uses real-world deterioration, inspection and maintenance data to assess railway track asset management. The model allows both asset management personnel and track maintenance engineers to evaluate the effects of ballast maintenance on the rail network and to predict the track condition as it changes over time given particular maintenance and inspection routines. An example analysis of a railway track section is presented, focussing on the investigation of the effects of varying the inspection interval on the track performance throughout its lifetime. It is demonstrated how the model results can be interpreted to give some indication of the effect of certain asset management decisions on the potential for fines resulting from delays and cancellations or safety risk relating to operating trains on a degraded track.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 104 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 166 Modelling the Effects of Asset Management Decisions on a Railway Track Section D.R. Prescott and J.D. Andrews Nottingham Transportation Engineering Centre, University of Nottingham, UK doi:10.4203/ccp.104.166 purchase the full-text of this paper Full Bibliographic Reference for this paper D.R. Prescott, J.D. Andrews, "Modelling the Effects of Asset Management Decisions on a Railway Track Section", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 166, 2014. doi:10.4203/ccp.104.166 Keywords: asset management, railway track, Markov analysis, lifecycle analysis. Summary This paper reports on the development of a Markov model that uses real-world deterioration, inspection and maintenance data to assess railway track asset management. The model allows both asset management personnel and track maintenance engineers to evaluate the effects of ballast maintenance on the rail network and to predict the track condition as it changes over time given particular maintenance and inspection routines. An example analysis of a railway track section is presented, focussing on the investigation of the effects of varying the inspection interval on the track performance throughout its lifetime. It is demonstrated how the model results can be interpreted to give some indication of the effect of certain asset management decisions on the potential for fines resulting from delays and cancellations or safety risk relating to operating trains on a degraded track. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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