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Z. Beg¹, S. Mahdavinasab¹, M. Ganji¹, A. Mosleh² and A.H.S. Garmabaki

¹Department of Civil, Environmental and Natural Resources Engineering, Division of Operation and Maintenance Engineering, Luleå University of Technology, Sweden
²Department of Civil Engineering, University of Porto, Portugal

doi:10.4203/ccc.15.4.2

Z. Beg, S. Mahdavinasab, M. Ganji, A. Mosleh, A.H.S. Garmabaki, "Integrating Life Cycle Assessment Based Key Performance Indicators for Sustainable Railway Asset Management", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 4.2, 2026, doi:10.4203/ccc.15.4.2

Keywords: life cycle assessment, global warming potential, railway infrastructure, environmental KPIs, RAMS, life-cycle cost.

Abstract

Sustainable decision support system for asset management essentially requires an integrated approach that considers operational performance, maintenance strategies, environmental sustainability, and economic efficiency. This study presents a systematic methodology for identifying and selecting Key Performance Indicators (KPIs) for translating complex environmental data into quantitative insights for railway and manufacturing assets. The proposed framework integrates life cycle assessment (LCA) based indicators across upstream, core, and downstream life-cycle stages to quantify environmental impacts across the full asset life cycle. The Global Warming Potential (GWP) considered as the primary indicator, reflecting the essential role of carbon emissions in sustainability objectives, while energy consumption, waste management, and service water are defined as secondary KPIs. Tertiary KPIs include resource use and recycled content, providing additional support to circularity and reduced carbon emissions goals. This framework provides a consolidated foundation for comparing and optimizing maintenance (corrective and predictive) and replacement strategies. Overall, this work contributes to support effective environmental monitoring to determine Optimal Replacement Time (ORT) for railway assets.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 15 PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 4.2 Integrating Life Cycle Assessment Based Key Performance Indicators for Sustainable Railway Asset Management Z. Beg¹, S. Mahdavinasab¹, M. Ganji¹, A. Mosleh² and A.H.S. Garmabaki ¹Department of Civil, Environmental and Natural Resources Engineering, Division of Operation and Maintenance Engineering, Luleå University of Technology, Sweden ²Department of Civil Engineering, University of Porto, Portugal doi:10.4203/ccc.15.4.2 Full Bibliographic Reference for this paper Z. Beg, S. Mahdavinasab, M. Ganji, A. Mosleh, A.H.S. Garmabaki, "Integrating Life Cycle Assessment Based Key Performance Indicators for Sustainable Railway Asset Management", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 4.2, 2026, doi:10.4203/ccc.15.4.2 Keywords: life cycle assessment, global warming potential, railway infrastructure, environmental KPIs, RAMS, life-cycle cost. Abstract Sustainable decision support system for asset management essentially requires an integrated approach that considers operational performance, maintenance strategies, environmental sustainability, and economic efficiency. This study presents a systematic methodology for identifying and selecting Key Performance Indicators (KPIs) for translating complex environmental data into quantitative insights for railway and manufacturing assets. The proposed framework integrates life cycle assessment (LCA) based indicators across upstream, core, and downstream life-cycle stages to quantify environmental impacts across the full asset life cycle. The Global Warming Potential (GWP) considered as the primary indicator, reflecting the essential role of carbon emissions in sustainability objectives, while energy consumption, waste management, and service water are defined as secondary KPIs. Tertiary KPIs include resource use and recycled content, providing additional support to circularity and reduced carbon emissions goals. This framework provides a consolidated foundation for comparing and optimizing maintenance (corrective and predictive) and replacement strategies. Overall, this work contributes to support effective environmental monitoring to determine Optimal Replacement Time (ORT) for railway assets. download the full-text of this paper (PDF, 9 pages, 594 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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