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            Chapter Project Management Information System (PMIS) Dashboard as a Digital Twin to Enhance Infrastructure Project Delivery: A Case Study of Ameroro Dam Project

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            Auteur
            Saputra, Rizky Agung
            Fajarwanto, Agung
            Widyastuti, Amy Rachmadhani
            Munandar, Danang Aris
            Setiawan, Herdy
            Wardani, Sari Gita
            Kadir, Abdul Rahman
            Amar, Muhammad Yunus
            Language
            English
            Afficher la notice complète
            Résumé
            In supporting the economic growth, Indonesian government has instructed to develop 201 National Strategic Infrastructure Projects, including Ameroro Dam Project. Located in Southeast Sulawesi, the construction process faced many engineering challenges with conventional monitoring methods, such as potentially delayed action plan and hindered decision making due to insufficient progress visualization data, inadequate real-time monitoring data, and unintegrated engineering data. Therefore, Project Management Information System (PMIS) dashboard is utilized as a Digital Twin innovation to overcome these challenges and optimize the project delivery. This study presents a case study approach on how PMIS could optimize the progress monitoring in Ameroro Dam Project. This PMIS Dashboard is integrated with Building Information Modelling, Digital Survey, Geospatial Data, and Project Management Data that supports the decision making as it provides more reliable data. This study illustrates the comparative study between conventional method and PMIS efficiency for a better project management. The effectiveness of PMIS can be seen as the integrated data is utilized to plan a construction working methods, along with monitoring the project schedule. Moreover, the visualization helps the engineers for a risk mitigation with the project performance display. Eventually, the paper concludes by the PMIS dashboard optimization for real-time progress monitoring in dam project, leading to more efficient infrastructure construction project management
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/171753
            Keywords
            BIM; Digital Twin; Construction Working Methods; Geospatial Data; Progress Monitoring; Project Management; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
            DOI
            10.36253/979-12-215-0289-3.120
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            14
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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