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

Author:

Stipanovic Irina12,Palic Sandra Skaric1,Casas Joan Ramon3,Chacón Rolando3,Ganic Emir14

Affiliation:

1. Infra Plan Consulting Zagreb Croatia

2. University of Twente, Faculty of Engineering Technology Enschede The Netherlands

3. Universitat Politècnica de Catalunya Barcelona Spain

4. University of Belgrade, Faculty of Transport and Traffic Engineering Belgrade Serbia

Abstract

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.

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference17 articles.

1. Performance Indicators of Railway Infrastructure

2. StipanovicI. Skaric PalicS.(2023)D5.3 A set of KPIs to plan a safe risk‐based maintenance ASHVIN project https://www.ashvin.eu/

3. Krenn B.(2021)D2.1 KPIs to design for productivity resource efficiency and safety ASHVIN project https://www.ashvin.eu https://doi.org/10.5281/ZENODO.5542975

4. Applying a new concept for strategic performance indicators

5. Searching for an optimal level of prefabrication in construction: An analytical framework

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3