Inspection and maintenance KPIs to support decision making integrated into Digital Twin tool

Irina Stipanovic*, Sandra Škarič−palič, Joan ramon Casas, Rolando Chacón, Emir Ganic

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In 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.
Original languageEnglish
Pages (from-to)1234-1241
Journalce/papers
Volume6
Issue number5
DOIs
Publication statusPublished - Sept 2023

Keywords

  • UT-Hybrid-D

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