2022
DOI: 10.1007/978-981-19-1577-2_40
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Alternative Railway Tools and Sustainability in RAMS: A Review

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Cited by 2 publications
(2 citation statements)
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“…Since systems consist of interdependent components, the quantification of the impact of component-level decision making on the sustainability performance of systems is not an easy task. RAM analysis based on Monte Carlo simulation has been applied in different domains to convert component-level indicators to systemlevel indicators in order to support maintenance decision making (e.g., railways [36], manufacturing [37], data centers [38], and electromechanical systems [39], amongst others). In RAM analysis, the reliability and maintainability of components are utilized to assess the system availability [40].…”
Section: Systemic Approachesmentioning
confidence: 99%
“…Since systems consist of interdependent components, the quantification of the impact of component-level decision making on the sustainability performance of systems is not an easy task. RAM analysis based on Monte Carlo simulation has been applied in different domains to convert component-level indicators to systemlevel indicators in order to support maintenance decision making (e.g., railways [36], manufacturing [37], data centers [38], and electromechanical systems [39], amongst others). In RAM analysis, the reliability and maintainability of components are utilized to assess the system availability [40].…”
Section: Systemic Approachesmentioning
confidence: 99%
“…Furthermore, a literature review by Pirbhulal (2021) shows, that for RAMS there is a need to develop tools or methods for RAMS in specific applications in line with this Muhammed Nor et al (2022) state that a widely applicable RAMS methodology for the railway industry is currently missing.…”
Section: Introductionmentioning
confidence: 99%