Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways
Life-cycle cost (LCC) analysis is an economic technique used to assess the total costs associated with the lifetime of a system in order to support decision making in long term strategic planning. For complex systems, such as railway and road infrastructures, the cost of maintenance plays an importa...
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creator | Calle-Cordón, Álvaro Jiménez-Redondo, Noemi Morales-Gámiz, F J García-Villena, F A Garmabaki, Amir H S Odelius, Johan |
description | Life-cycle cost (LCC) analysis is an economic technique used to assess the total costs associated with the lifetime of a system in order to support decision making in long term strategic planning. For complex systems, such as railway and road infrastructures, the cost of maintenance plays an important role in the LCC analysis. Costs associated with maintenance interventions can be more reliably estimated by integrating the probabilistic nature of the failures associated to these interventions in the LCC models. Reliability, Maintainability, Availability and Safety (RAMS) parameters describe the maintenance needs of an asset in a quantitative way by using probabilistic information extracted from registered maintenance activities. Therefore, the integration of RAMS in the LCC analysis allows obtaining reliable predictions of system maintenance costs and the dependencies of these costs with specific cost drivers through sensitivity analyses. This paper presents an innovative approach for a combined RAMS & LCC methodology for railway and road transport infrastructures being developed under the on-going H2020 project INFRALERT. Such RAMS & LCC analysis provides relevant probabilistic information to be used for condition and risk-based planning of maintenance activities as well as for decision support in long term strategic investment planning. |
doi_str_mv | 10.1088/1757-899X/236/1/012106 |
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Costs associated with maintenance interventions can be more reliably estimated by integrating the probabilistic nature of the failures associated to these interventions in the LCC models. Reliability, Maintainability, Availability and Safety (RAMS) parameters describe the maintenance needs of an asset in a quantitative way by using probabilistic information extracted from registered maintenance activities. Therefore, the integration of RAMS in the LCC analysis allows obtaining reliable predictions of system maintenance costs and the dependencies of these costs with specific cost drivers through sensitivity analyses. This paper presents an innovative approach for a combined RAMS & LCC methodology for railway and road transport infrastructures being developed under the on-going H2020 project INFRALERT. 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A case study for railways</title><author>Calle-Cordón, Álvaro ; Jiménez-Redondo, Noemi ; Morales-Gámiz, F J ; García-Villena, F A ; Garmabaki, Amir H S ; Odelius, Johan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-c1ecca0b8368a51faef5183559602c50e7637daa98e3e1a7dbceece2e83b22763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Complex systems</topic><topic>Cost analysis</topic><topic>Costs</topic><topic>Decision making</topic><topic>Economic analysis</topic><topic>Infrastructure</topic><topic>Life cycle analysis</topic><topic>Life cycle costs</topic><topic>Life cycles</topic><topic>Maintainability</topic><topic>Maintenance costs</topic><topic>Road maintenance</topic><topic>Road transportation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Calle-Cordón, Álvaro</creatorcontrib><creatorcontrib>Jiménez-Redondo, Noemi</creatorcontrib><creatorcontrib>Morales-Gámiz, F J</creatorcontrib><creatorcontrib>García-Villena, F A</creatorcontrib><creatorcontrib>Garmabaki, Amir H S</creatorcontrib><creatorcontrib>Odelius, Johan</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>IOP conference series. 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subjects | Complex systems Cost analysis Costs Decision making Economic analysis Infrastructure Life cycle analysis Life cycle costs Life cycles Maintainability Maintenance costs Road maintenance Road transportation |
title | Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways |
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