Version 1
: Received: 12 May 2024 / Approved: 13 May 2024 / Online: 13 May 2024 (12:30:45 CEST)
How to cite:
Abdelalim, A. M.; Said, S. O.; A.AL Naser, A.; Sharaf, A.; ElSamadony, A.; Kontoni, D.-P. N.; Tantawy, M. Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies. Preprints2024, 2024050795. https://doi.org/10.20944/preprints202405.0795.v1
Abdelalim, A. M.; Said, S. O.; A.AL Naser, A.; Sharaf, A.; ElSamadony, A.; Kontoni, D.-P. N.; Tantawy, M. Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies. Preprints 2024, 2024050795. https://doi.org/10.20944/preprints202405.0795.v1
Abdelalim, A. M.; Said, S. O.; A.AL Naser, A.; Sharaf, A.; ElSamadony, A.; Kontoni, D.-P. N.; Tantawy, M. Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies. Preprints2024, 2024050795. https://doi.org/10.20944/preprints202405.0795.v1
APA Style
Abdelalim, A. M., Said, S. O., A.AL Naser, A., Sharaf, A., ElSamadony, A., Kontoni, D. P. N., & Tantawy, M. (2024). Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies. Preprints. https://doi.org/10.20944/preprints202405.0795.v1
Chicago/Turabian Style
Abdelalim, A. M., Denise-Penelope N. Kontoni and Mohamed Tantawy. 2024 "Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies" Preprints. https://doi.org/10.20944/preprints202405.0795.v1
Abstract
The domain of construction engineering and management is evolving rapidly. Optimizing resource positioning is crucial for meeting the challenges of efficiency and productivity. This research presents a novel methodology that incorporates Agent-Based Modeling (ABM), Building Information Modeling (BIM), and Bluetooth Low Energy (BLE) technologies, augmented with a Client Early Warning System (CEWS) and a Decision Support System (DSS). What makes this study unique is that it provides a real-time methodology for resource allocation and project management, tailored to address the complexities of modern construction projects. The application of this integrated technological framework marks a significant leap in construction management, empowering data-driven decision-making and significantly improving project efficiency. Empirically validated through a case study at Helwan University's College of Engineering and substantiated by expert surveys, this research showcases a transformative model for resource management. The findings not only underscore the practical applicability of this approach but also open new horizons for its adoption in global construction practices, offering insights for future research endeavors focused on expanding these methodologies to a wider range of resources.
Keywords
Agent-based modeling (ABM); Resource Positioning; Building Information Modelling (BIM); Digital Twin; Complex Systems; Decision Support System (DSS); Bluetooth Low Energy (BLE); Client Early Warning System (CEWS); Simulation Environment; Real-Time Monitoring
Subject
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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