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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 300
Decision Support System Availability: Optimal Combination and Allocation of Interventions G. van der Werf and F.J. Többen
ARCADIS Infrastructure, Amersfoort, The Netherlands , "Decision Support System Availability: Optimal Combination and Allocation of Interventions", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 300, 2014. doi:10.4203/ccp.104.300
Keywords: asset management, decision support system, availability, optimization, investment, interventions.
Summary
ARCADIS has been developed, in close cooperation with ProRail (the Dutch stateowned
railway asset manager). It is a decision support model which can be used to
investigate the costs and effects on the availability of track created by organisational
and technical changes in a rail system. The LAB-model (LAndelijk
Beschikbaarheidsmodel) is a decision support system for the availability model,
developed for the Dutch rail network. Just as in a laboratory different interventions
can be mixed and the resulting effects be analysed in real time so a national coherent
recipe of interventions can be developed, or verified, regarding the strategic top
objectives. The main questions are "What is the effect on availability for each
possible intervention?" and "How do I allocate with a good priority my
investment?" The model gives a quick insight into the assessment of the correct
priority for investments in the network and the speed in the decrease of nonavailability
depending on the funding. The model is based on research of the
existing availability over the last five years, handling nine categories of the most
frequent causes of non-availability and ranking them in location (a line or object).
The level of effectiveness of interventions is based on data, experience or expert
judgement. The model also gives insight into the return of investment by comparing
costs with the saving of money by decreasing costs for unavailability. An optimum
to invest in the right location for each intervention also is shown. Thus a
combination of interventions for each category can be determined. The model can be
easily adjusted for different types of ranking. The model is also very useful in other
markets such as roads, factories or hospitals where similar investments
considerations have to be made. ProRail is very satisfied with the model because it
gives a transparent comparison for different possible sets of interventions.
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