Downloads provided by UsageCounts
doi: 10.1002/cepa.2137
handle: 2117/395723
AbstractIn the H2020 European project ASHVIN “Assistants for Healthy, Safe, and Productive Virtual Construction Design, Operation & Maintenance using a Digital Twin”, a set of Key Performance Indicators (KPIs) and Performance Indicators (PIs) to plan and control productive, resource efficient, and safe maintenance are being developed for transport infrastructure. This paper is presenting PIs and KPIs for the assessment and monitoring of the following aspects: Productivity, Resource Efficiency, Cost, Health & Safety during the operational life cycle stage, which is mainly focusing on the inspection and maintenance planning. Quantifiable and measurable PIs and KPIs are proposed and applied on two demonstration projects, highway bridge in Spain and airport runway in Croatia, as part of transportation infrastructure. Proposed PIs and KPIs are integrated into digital twins of the analyzed assets and into decision making tools for risk based maintenance planning. This paper presents the overview of the proposed digital PIs and KPIs applied on two demonstration projects and the integration into decision support tools for efficient and sustainable maintenance planning.
Decision support tool, Inspection, UT-Hybrid-D, Digital twins, Maintenance planning, Mainte-nance planning, Construcció, Building, Key Performance Indicators, Àrees temàtiques de la UPC::Edificació, Àrees temàtiques de la UPC::Enginyeria civil
Decision support tool, Inspection, UT-Hybrid-D, Digital twins, Maintenance planning, Mainte-nance planning, Construcció, Building, Key Performance Indicators, Àrees temàtiques de la UPC::Edificació, Àrees temàtiques de la UPC::Enginyeria civil
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 93 | |
| downloads | 85 |

Views provided by UsageCounts
Downloads provided by UsageCounts