Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways.

Calle-Cordón, Álvaro; Jimenez–Redondo, Noemí; Morales-Gámiz, F. J.; García-Villena, Francisco Antonio; Garmabaki, Amir Soleimani; Odelius, Johan

doi:10.1088/1757-899x/236/1/012106

Cited by 9 publications

(9 citation statements)

References 3 publications

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“…In addition, with the increase in rail traffic needs, additional infrastructure assets are needed to support railway operations that must be managed properly. New asset construction and maintenance activities should be organized when traffic loads are low so that the highest priority is to keep traffic flow in optimal conditions [3]. Asset management is necessary for quality control of railway operations as measured by time reliability.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Railway Infrastructure Asset – A Review

Maulana,

Gunawan

2023

JPI

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Railway infrastructure assets are key components in the railway transportation system. Optimal asset management is essential to improve the efficiency and productivity of the railway system, as well as help prevent unnecessary costs in the asset life cycle. Reliability, Availability, Maintainability, and Safety (RAMS) and Life Cycle Cost (LCC) methods can be used in managing railway infrastructure assets. RAMS is a method used to assess the performance of high-complexity systems such as rail infrastructure systems. In contrast, LCC is used to evaluate the overall cost of a system or asset over the life cycle. Integrating RAMS and LCC concepts can help plan railways' design, operation, and maintenance. This integration is very flexible as it can be done from the life cycle's design, operation, and maintenance stages. Research shows that using the integration of RAMS and LCC can lead to better strategic decisions in the life cycle of a railway. In selecting assets to support design and maintenance, for example, there are two high-speed rail double-track alternatives of ballasted and ballastless track, with results showing that ballastless track has higher RAMS performance and lower maintenance cost but higher construction costs, so ballasted track solutions are preferred for short-term construction and the ballastless track is preferred for long-term.

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Section: Introductionmentioning

confidence: 99%

Optimization of Railway Infrastructure Asset – A Review

Maulana,

Gunawan

2023

JPI

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“…Furthermore, permafrost distribution and the freezing and thawing cycles can cause frost heaves at railway infrastructure in the Arctic region, damaging bridges and building foundations and their load-carrying capacity [11]. These events reduce the dependability performance of the infrastructure (reliability, availability, maintainability, and safety (RAMS)) [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Adapting Railway Maintenance to Climate Change

et al. 2021

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Railway infrastructure is vulnerable to extreme weather events such as elevated temperature, flooding, storms, intense winds, sea level rise, poor visibility, etc. These events have extreme consequences for the dependability of railway infrastructure and the acceptable level of services by infrastructure managers and other stakeholders. It is quite complex and difficult to quantify the consequences of climate change on railway infrastructure because of the inherent nature of the railway itself. Hence, the main aim of this work is to qualitatively identify and assess the impact of climate change on railway infrastructure with associated risks and consequences. A qualitative research methodology is employed in the study using a questionnaire as a tool for information gathering from experts from several municipalities in Sweden, Swedish transport infrastructure managers, maintenance organizations, and train operators. The outcome of this questionnaire revealed that there was a lower level of awareness about the impact of climate change on the various facets of railway infrastructure. Furthermore, the work identifies the challenges and barriers for climate adaptation of railway infrastructure and suggests recommended actions to improve the resilience towards climate change. It also provides recommendations, including adaptation options to ensure an effective and efficient railway transport service.

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“…For instance, Liden [4] reported that the estimated annual combined RTS maintenance budget of the European Union member countries typically is between 12.8 and 21.3 billion Great British Pound (GBP£) per 300,000 km of rail track. Despite significant progress in incorporating reliability, risk, and maintenance in RTSs, most of these applications are used discretely without the benefits of an integrated approach, where the limitations of one technique are compensated by the strength of another [3,[5][6][7][8][9][10][11][12][13][14][15]. Such individualised reliability, risk and maintenance techniques also contribute to the issues and conflicts in decision-making between RTS designers, operators, and suppliers [1,2].…”

Section: Introductionmentioning

confidence: 99%

Practical Demonstration of a Hybrid Model for Optimising the Reliability, Risk, and Maintenance of Rolling Stock Subsystem

et al. 2021

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Railway transport system (RTS) failures exert enormous strain on end-users and operators owing to in-service reliability failure. Despite the extensive research on improving the reliability of RTS, such as signalling, tracks, and infrastructure, few attempts have been made to develop an effective optimisation model for improving the reliability, and maintenance of rolling stock subsystems. In this paper, a new hybrid model that integrates reliability, risk, and maintenance techniques is proposed to facilitate engineering failure and asset management decision analysis. The upstream segment of the model consists of risk and reliability techniques for bottom-up and top-down failure analysis using failure mode effects and criticality analysis and fault tree analysis, respectively. The downstream segment consists of a (1) decision-making grid (DMG) for the appropriate allocation of maintenance strategies using a decision map and (2) group decision-making analysis for selecting appropriate improvement options for subsystems allocated to the worst region of the DMG map using the multi-criteria pairwise comparison features of the analytical hierarchy process. The hybrid model was illustrated through a case study for replacing an unreliable pneumatic brake unit (PBU) using operational data from a UK-based train operator where the frequency of failures and delay minutes exceeded the operator’s original target by 300% and 900%, respectively. The results indicate that the novel hybrid model can effectively analyse and identify a new PBU subsystem that meets the operator’s reliability, risk, and maintenance requirements.

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Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways.

Cited by 9 publications

References 3 publications

Optimization of Railway Infrastructure Asset – A Review

Optimization of Railway Infrastructure Asset – A Review

Adapting Railway Maintenance to Climate Change

Practical Demonstration of a Hybrid Model for Optimising the Reliability, Risk, and Maintenance of Rolling Stock Subsystem

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