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

Auteur(s): (Infra Plan Consulting Zagreb Croatia)
(Infra Plan Consulting Zagreb Croatia)
(Universitat Politècnica de Catalunya Barcelona Spain)
(Universitat Politècnica de Catalunya Barcelona Spain)
(Infra Plan Consulting Zagreb Croatia)
Médium: article de revue
Langue(s): anglais
Publié dans: ce/papers, , n. 5, v. 6
Page(s): 1234-1241
DOI: 10.1002/cepa.2137
Abstrait:

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.

Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1002/cepa.2137.
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  • Reference-ID
    10767267
  • Publié(e) le:
    17.04.2024
  • Modifié(e) le:
    17.04.2024
 
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