Contained in:
Book Chapter

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

  • Rizky Agung Saputra
  • Agung Fajarwanto
  • Amy Rachmadhani Widyastuti
  • Sari Gita Wardani
  • Danang Aris Munandar
  • Herdy Setiawan
  • Abdul Rahman Kadir
  • Muhammad Yunus Amar

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

  • Keywords:
  • BIM,
  • Digital Twin,
  • Construction Working Methods,
  • Geospatial Data,
  • Progress Monitoring,
  • Project Management,
+ Show More

Rizky Agung Saputra

PT Hutama Karya (Persero), Indonesia

Agung Fajarwanto

PT Hutama Karya (Persero), Indonesia

Amy Rachmadhani Widyastuti

PT Hutama Karya (Persero), Indonesia

Sari Gita Wardani

PT Hutama Karya (Persero), Indonesia - ORCID: 0009-0009-7647-2956

Danang Aris Munandar

PT Hutama Karya (Persero), Indonesia

Herdy Setiawan

PT Hutama Karya (Persero), Indonesia

Abdul Rahman Kadir

Hasanuddin University, Indonesia - ORCID: 0000-0002-5527-6018

Muhammad Yunus Amar

Hasanuddin University, Indonesia - ORCID: 0000-0002-2111-6075

  1. Acebes, F., Testa, R., Alonso, J., & Curto, D. (2023). BIM Implementation in Construction Project Management. In Industry 4.0: The Power of Data. Springer.
  2. Bandara, D., Ranadewa, T., Parameswaran, A., & Eranga, B. (2023). Lean iceberg model to minimise barriers for digital twin implementation: Sri Lankan construction industry perspective. 11th World Construction Symposium. Sri Lanka.
  3. Bao, J., Guo, D., Li, J., & Zhang, J. (2018). The modelling and operations for the digital twin in the context of manufacturing. Enterprise Information Systems, 13, 534-556.
  4. Bi, R. (2022). A Study of Smart Construction Based on the Digital Twins. 6th International Seminar on Education Management and Social Sciences (ISEMSS 2022). China.
  5. Delgado, J. D., & Oyedele, L. (2021). Digital Twins for the built environment: learning from conceptual and. Advanced Engineering Informatics, 49.
  6. Hosamo, H., Imran, A., Cartagena, J. C., Svennevig, P. R., Svidt, K., & Nielsen, H. K. (2022). A Review of the Digital Twin Technology in the AEC-FM Industry. Advances in Civil Engineering, 2022.
  7. Istanbullu, A., Wamuziri, S., & Siddique, M. (2022). BIM Digital twins environment to enhance construction. IOP Conf. Series: Earth and Environmental Science.
  8. Jiang, Z., Guo, Y., & Wang, Z. (2021). Digital twin to improve the virtual-real integration of industrial IoT. Journal of Industrial Information Integration.
  9. Kalkan, Y. (2014). Geodetic Deformation Monitoring of Ataturk Dam in Turkey. Arabian Journal of Geoscience, 397-405.
  10. Ke, Y., Zhang, J., & Philbin, S. P. (2023). Tradition and Innovation in Construction Project Management. Buildings, 13(6).
  11. Ma, J., Chen, H., Zhang, Y., Guo, H., Ren, Y., Mo, R., & Liu, L. (2020). A digital twin-driven production management system for production workshop. The International Journal of Advanced Manufacturing Technology, 1385-1397.
  12. Madubuike, O., Anumba, C., & Khallaf, R. (2022). A review of digital twin applications in construction. Journal of Information Technology in Construction, 145-172.
  13. Mahato, B. K., & Ogunlana, S. O. (2011). Conflict Dynamics in a Dam Construction Project: A Case Study. Built Environment Project and Asset Management, 1(2), 176-194.
  14. McKinsey Global Institute. (2016). Imagining Construction's Digital Future. McKinsey & Company.
  15. McKinsey Global Institute. (2017). Reinventing Construction: A Route to Higher Productivity. McKinsey & Company.
  16. McKinsey Global Institute. (2020). The Next Normal in Construction. McKinsey & Company.
  17. Nakanishi, Y., Kaneta, T., & Nishino, S. (2021). A Review of Monitoring Construction Equipment in Support of Construction Project Management. Frontiers Built Environment, 7.
  18. Pan, Y., & Zhang, L. (2021). A BIM-data mining integrated digital twin framework for advanced project management. Automation in Construction, 124.
  19. Project Management Institute. (2017). A Guide to the Project Management Body of Knowledge (PMBOK Guide) 6th edition. Newton Square: Project Management Institute.
  20. Sangyong, K., Yoonseok, S., & Gwang-Hee, K. (2014). Case Study on the Maintenance of a Construction Monitoring Using USN-Based Data Acquisition. The Scientific World Journal, 2014.
  21. Sivalingham, K., Sepuvelda, M., Spring, M., & Davies, P. (2018). A Review and Methodology Development for Remaining Useful Life Prediction of Offshore Fixed and Floating Wind Turbine Power Converter with Digital Twin Technology Perspective. 2nd International Conference on Green Energy and Applications (ICGEA), (197-204).
  22. Teizer, J., Lao, D., & Sofer, M. (2007). Rapid Automated Monitoring of Construction Site Activities Using Ultra-Wide Band. 24th International Symposium on Automation & Robotics in Construction (p.23-28). Cochin, India.
  23. The US Geological Survey. (1992). Publication of The US Geological Survey. Washington DC: U.S. Government Printing Office.
  24. Wang, X., Wang, Y., Tao, F., & Liu, A. (2020). New Paradigm of Data-Driven Smart Customisation through Digital Twin. Journal of Manufacturing Systems.
  25. Woo, J. T. (2010). A study of the present state analysis and development plans about construction monitoring and monitoring industry. KSCE Journal of Civil and Environmental Engineering Research, 30(2D), 163-169.
  26. Yue, W. (2023). Research on applications of Building Information Modelling (BIM) in construction project management information systems. SHS Web Conference. Volume 169, 2023. 4th International Symposium on Frontiers of Economics and Management Science (FEMS 2023).
PDF
  • Publication Year: 2023
  • Pages: 1219-1232

XML
  • Publication Year: 2023

Chapter Information

Chapter Title

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

Authors

Rizky Agung Saputra, Agung Fajarwanto, Amy Rachmadhani Widyastuti, Sari Gita Wardani, Danang Aris Munandar, Herdy Setiawan, Abdul Rahman Kadir, Muhammad Yunus Amar

DOI

10.36253/979-12-215-0289-3.120

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

151

Fulltext
downloads

159

Views

Export Citation

1,346

Open Access Books

in the Catalogue

2,262

Book Chapters

3,790,127

Fulltext
downloads

4,420

Authors

from 923 Research Institutions

of 65 Nations

65

scientific boards

from 348 Research Institutions

of 43 Nations

1,248

Referees

from 381 Research Institutions

of 38 Nations