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

被引:0
|
作者
Stipanovic, Irina [1 ,2 ]
Palic, Sandra Skaric [1 ]
Casas, Joan Ramon [3 ]
Chacon, Rolando [3 ]
Ganic, Emir [1 ,4 ]
机构
[1] Infra Plan Consulting, Luke Kaliterne 7, Zagreb 10000, Croatia
[2] Univ Twente, Fac Engn Technol, Enschede, Netherlands
[3] Univ Politecn Cataluna, Barcelona, Spain
[4] Univ Belgrade, Fac Transport & Traff Engn, Belgrade, Serbia
基金
欧盟地平线“2020”;
关键词
Inspection; Digital twins; Key Performance Indicators; Decision support tool; Maintenance planning;
D O I
10.1002/cepa.2137
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:1234 / 1241
页数:8
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