An Integrative Approach RAMS-LCC to Support Decision on Design and Maintenance of Rail Track

Author(s):  
Filippo Giammaria Praticò ◽  
Marinella Giunta

In this paper a RAMS (Reliability, Availability, Maintainability, Safety) – LCCA (Life Cycle Cost Analysis) mixed approach is proposed in order to support decisions on design and maintenance strategies of rail tracks. RAMS management, usually applied in railway sector, lacks a life-cycle cost perspective and balance, while LCCA supports decisions on design options and maintenance strategies by means of an economic analysis in which costs and performance are assessed. Therefore, a Decision Support System, based on Life-Cycle Costing (LCC) analysis, should be developed, balancing short and long-term costs with performance (RAMS target). The model proposed accounts for a comprehensive life cycle cost analysis based not only on agency (e.g., construction, inspection, maintenance and renewal), and user costs (e.g., delay-related, etc.), but also on environmental costs (e.g., related to CO2e emissions). For RAMS analysis, a new method to measure the RAMS components and to define an overall indicator is proposed. Results show that the RAMS of a slab track is generally higher than the one of a ballasted track. In terms of present value of two solutions, the breakeven point between them is very far from the end of construction and this may impact public opinion and overall judgment.

2004 ◽  
Author(s):  
James Lutz ◽  
Alex Lekov ◽  
Camilla Dunham Whitehead ◽  
Peter Chan ◽  
Steve Meyers ◽  
...  

Energy ◽  
2006 ◽  
Vol 31 (2-3) ◽  
pp. 311-329 ◽  
Author(s):  
J LUTZ ◽  
A LEKOV ◽  
P CHAN ◽  
C WHITEHEAD ◽  
S MEYERS ◽  
...  

2008 ◽  
Vol 2 (3) ◽  
pp. 271-286 ◽  
Author(s):  
Edson Adriano Vendrusculo ◽  
Guilherme de Castilho Queiroz ◽  
Gilberto De Martino Jannuzzi ◽  
Herculano Xavier da Silva Júnior ◽  
José Antenor Pomilio

Author(s):  
Hesham Osman

One main shortcoming in the use of life-cycle cost analysis (LCCA) for analyzing long-term infrastructure projects is the uncertainty in the value of the LCCA parameters. Probabilistic LCCA incorporates these elements of uncertainty by assigning probabilistic values to cost and performance parameters. Studies that have performed probabilistic LCCA in the infrastructure domain propose a probability-based framework for alternative comparison. Although such frameworks convey a wealth of probabilistic information, they are not well suited to decision making. This study proposes a risk-based framework that is similar to techniques used in portfolio risk management. To illustrate the use of such a framework, a Monte Carlo simulation is used to perform probabilistic LCCA for a highway project. Two highway investment opportunities with varying risks and returns are analyzed. The decision framework is used to compare the simulation results with some common investment opportunities in the market. This framework enables private-sector investors to assess the relative risks and returns of alternative infrastructure projects. The fact that similar frameworks are used in the financial investment domain makes this approach suitable for the economic analysis of privatized infrastructure.


2021 ◽  
Vol 31 ◽  
pp. 58-60
Author(s):  
Jan Vogl ◽  
Mária Jánešová

The development of foreign trade plays an important role in the Czech economy. The important foreign trade commodity item is Machinery and transport equipment (SITC 7). Railway vehicles is a part of this category, other means of transport (SITC 79).In order to maintain competitiveness and economic growth, it is necessary for the railway industry to intensify the innovation and the introducing of new technologies into production. One of the available options is a wider implementation of life cycle cost analysis, which enables to activate innovative efforts, as well as to improve technical and performance data.


2011 ◽  
Vol 4 (5) ◽  
pp. 158-161 ◽  
Author(s):  
A. Morfonios A. Morfonios ◽  
◽  
D. Kaitelidou D. Kaitelidou ◽  
G. Filntisis G. Filntisis ◽  
G. Baltopoulos G. Baltopoulos ◽  
...  

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