4D BIM-Based Master Scheduling for Giga-Projects: Improving Schedule Reliability and Stakeholder Alignment

References

[1] Afzal, M., & Shafiq, M. T. (2021). Evaluating 4D-BIM and VR for effective safety communication and training: A case study of multilingual construction job-site crew. Buildings, 11(8), 319. https://doi.org/10.3390/buildings11080319

[2] Alnajjar, O., Alzubi, J., & Al-Saggaf, A. (2025). A systematic review of lean construction, BIM and emerging technologies integration: Identifying key tools. Buildings, 15(16), 2884. https://doi.org/10.3390/buildings15162884

[3] Al-Sinan, M. A., Alhusban, A. A., & Alzahrani, M. (2024). Generation of construction scheduling through machine learning and BIM: A blueprint. Buildings, 14(4), 934. https://doi.org/10.3390/buildings14040934

[4] Awe, M., Malhi, A., Budka, M., Mavengere, N., & Dave, B. (2025). Towards 4D BIM: A systematic literature review on challenges, strategies and tools in leveraging AI with BIM. Buildings, 15(7), 1072. https://doi.org/10.3390/buildings15071072

[5] Chong, H.-Y., Yang, X., Goh, C. S., & Luo, Y. (2025). BIM and AI integration for dynamic schedule management: A practical framework and case study. Buildings, 15(14), 2451. https://doi.org/10.3390/buildings15142451

[6] Davila Delgado, J. M., Oyedele, L., Beach, T., & Demian, P. (2020). Augmented and virtual reality in construction: Drivers and limitations for industry adoption. Journal of Construction Engineering and Management, 146(7), 04020079. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001845

[7] Doukari, O., Seck, B., & Greenwood, D. (2022). The creation of construction schedules in 4D BIM: A comparison of conventional and automated approaches. Buildings, 12(8), 1145. https://doi.org/10.3390/buildings12081145

[8] Getuli, V., Capone, P., & Bruttini, A. (2020). BIM-based immersive virtual reality for construction workspace planning: A safety-oriented approach. Journal of Manufacturing Systems, 54, 1-15.

[9] Hsieh, C.-C., Chen, H.-M., Chen, W.-Y., & Wu, T.-Y. (2026). Automated construction progress monitoring and control through AI-based image recognition and BIM integration. Automation in Construction, 174, 106165.

[10] Houng, J.-Y., Pal, M., Chen, H.-M., & Tsai, M.-H. (2024). 4D BIM and reality model-driven camera placement optimization for construction monitoring. Journal of Construction Engineering and Management, 150(5), 04024032.

[11] Ismail, O. A., Nagy, A. M., Sanad, H., & Elbehairy, H. S. (2025). 4D-BIM based dynamic construction site layout planning. Journal of Umm Al-Qura University for Engineering and Architecture, 16, 1499-1518. https://doi.org/10.1007/s43995-025-00191-4

[12] Jiang, Y., Su, S., Zhao, S., Zhong, R. Y., Qiu, W., Skibniewski, M. J., Brilakis, I., & Huang, G. Q. (2024). Digital twin-enabled synchronized construction management: A roadmap from construction 4.0 towards future prospect. Developments in the Built Environment, 19, 100512. https://doi.org/10.1016/j.dibe.2024.100512

[13] Kavaliauskas, P., Migilinskas, D., & Li, B. (2022). Automation of construction progress monitoring by integrating 3D point cloud data with an IFC-based BIM model. Buildings, 12(10), 1754. https://doi.org/10.3390/buildings12101754

[14] Likita, A. J., Owolabi, H. A., & Durdyev, S. (2025). A guideline for BIM and lean integrated construction practice. Smart and Sustainable Built Environment, 14(4), 1264-1284.

[15] Lin, W., Zhang, S., & Wang, J. (2024). Examining the effect of project planning on megaproject performance: The conditional mediating role of integration. Project Leadership and Society, 5, 100073.

[16] Martins, S. S., Evangelista, A. C. J., Hammad, A. W. A., Tam, V. W. Y., & Haddad, A. (2022). Evaluation of 4D BIM tools applicability in construction planning efficiency. International Journal of Construction Management, 22(15), 2987-3000. https://doi.org/10.1080/15623599.2020.1837718

[17] Mashali, A., & El, A. (2022). BIM-based stakeholder information exchange (IE) during the planning phase in smart construction megaprojects (SCMPs). International Journal of BIM and Engineering Science, 5(1), 8-19. https://doi.org/10.54216/IJBES.050101

[18] Mashali, A. (2025). Key drivers for adopting building information modelling (BIM) and stakeholder management on construction megaprojects. Revista de la Construcción, 24(1), 1-19.

[19] Mayouf, M., Gough, T., Alzubi, J., & Greenwood, D. (2024). Revolutionising the 4D BIM process to support scheduling requirements in modular construction. Sustainability, 16(2), 476. https://doi.org/10.3390/su16020476

[20] Miao, C., Zhang, Y., & Liu, H. (2024). BIM-supported knowledge collaboration: A case study of a highway project in China. Sustainability, 16(20), 9074. https://doi.org/10.3390/su16209074

[21] Muse, A. B., Alshammari, M., & Alaloul, W. S. (2025). Framework for leveraging BIM to mitigate disputes in construction projects in Saudi Arabia. Frontiers in Built Environment, 11, 1719589. https://doi.org/10.3389/fbuil.2025.1719589

[22] Nawaz, A., Waqar, A., Shah, S. A. A., Sajid, M., & Khalid, M. I. (2021). BIM adoption and its impact on planning and scheduling influencing megaproject success. Complexity, 2021, 8818296. https://doi.org/10.1155/2021/8818296

[23] Oraee, M., Hosseini, M. R., Edwards, D., & Papadonikolaki, E. (2021). Collaboration in BIM-based construction networks: A qualitative model of influential factors. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-10-2020-0865

[24] Pérez, Y., Ávila, J., & Sánchez, O. G. (2024). Influence of BIM and lean on mitigating delay factors in building projects. Results in Engineering, 22, 102236. https://doi.org/10.1016/j.rineng.2024.102236

[25] Prebanić, K. R., Vukomanović, M., & Radujković, M. (2021). Realizing the need for digital transformation of stakeholder management: A systematic review in the construction industry. Sustainability, 13(22), 12690. https://doi.org/10.3390/su132212690

[26] Rashidi, A., Aghimien, D., & Goulding, J. (2023). Construction planning through 4D BIM-based virtual reality for light steel framing building projects. Smart and Sustainable Built Environment, 12(5), 1153-1172.

[27] Rehman, M. S. U., Thaheem, M. J., Nasir, A. R., & Khan, K. I. A. (2020). Project schedule risk management through building information modelling. International Journal of Construction Management, 22(8), 1487-1500. https://doi.org/10.1080/15623599.2020.1728606

[28] Su, S., Jiang, Y., Zhao, S., & Zhong, R. Y. (2025). Digital twin and its applications in the construction industry. Digital Twin, 5, 17664. https://doi.org/10.12688/digitaltwin.17664.3

[29] Tan, Y., Li, H., & Papadonikolaki, E. (2026). Revisiting collaboration dilemmas among stakeholders in BIM-enabled projects: A transaction cost lens. Engineering, Construction and Architectural Management.

[30] Torres, K., Sánchez, O., & Ávila, J. (2025). Exploring the knowledge structure of building information modeling (BIM) adoption in construction scheduling: A bibliometric analysis from 2008 to 2024. Ain Shams Engineering Journal, 16(4), 103456.

[31] Vassena, G. P. M., Perfetti, L., Comai, S., Mastrolembo Ventura, S., & Ciribini, A. L. C. (2023). Construction progress monitoring through the integration of 4D BIM and SLAM-based mapping devices. Buildings, 13(10), 2488. https://doi.org/10.3390/buildings13102488

[32] Wang, S., Chong, H.-Y., & Zhang, W. (2024). The impact of BIM-based integration management on megaproject performance in China. Alexandria Engineering Journal, 94, 34-43. https://doi.org/10.1016/j.aej.2024.03.036

[33] Wang, Y., Thangasamy, V. K., Hou, Z., Tiong, R. L. K., & Zhang, L. (2020). Collaborative relationship discovery in BIM project delivery: A social network analysis approach. Automation in Construction, 114, 103147. https://doi.org/10.1016/j.autcon.2020.103147

[34] Zhang, H. M., Chong, H.-Y., & Zhang, X. (2022). The effective mediating role of stakeholder management in the relationship between BIM implementation and project performance. Engineering, Construction and Architectural Management, 30(6), 2503-2523. https://doi.org/10.1108/ECAM-04-2020-0225

@article{1718608,
      author = {Mohamed Basham Abdul Rasheed},
      title = {4D BIM-Based Master Scheduling for Giga-Projects: Improving Schedule Reliability and Stakeholder Alignment},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {453-463},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1718608.pdf},
      abstract = {Giga-projects operate under extreme conditions of scale, uncertainty, and interdependence. Their delivery is shaped by long supply chains, multi-package procurement, geographically dispersed teams, regulatory interfaces, and client ambitions that are often revised while construction is already underway. Under these conditions, master schedules frequently become static reporting documents rather than dynamic management instruments. Four-dimensional building information modeling (4D BIM), which links time information to three-dimensional digital models, has been increasingly positioned as a means of transforming master scheduling from a document-centered process into a visual, data-driven and collaborative control system. This review paper synthesizes recent literature published between 2020 and 2026 to examine how 4D BIM-based master scheduling contributes to schedule reliability and stakeholder alignment in giga-project environments. Following an evidence-led review procedure adapted from the structure and methodological logic of the sample article provided by the user, the paper analyzes recent studies on 4D BIM scheduling, megaproject integration, BIM-enabled stakeholder management, lean-BIM integration, progress monitoring, digital twins, and AI-supported schedule control. The review finds that 4D BIM improves schedule reliability through better work-package decomposition, improved constructability analysis, richer look-ahead planning, enhanced progress verification, earlier identification of spatial-temporal clashes, and stronger change-response capacity. It improves stakeholder alignment by creating a shared visual language, structuring information exchanges, clarifying interface dependencies, and supporting collaborative decision-making across owners, designers, contractors, consultants, and digital control teams. However, the literature also shows that these gains are not automatic. Their realization depends on model maturity, information governance, schedule coding standards, contractual alignment, staff capability, and integration with lean planning and real-time site data. The paper proposes a synthesized review framework that positions 4D BIM master scheduling as a socio-technical capability rather than a software feature. It concludes with implementation recommendations and future research priorities relevant to giga-project delivery organizations.},
      keywords = {4D BIM, Master Scheduling, Giga-Projects, Schedule Reliability, Stakeholder Alignment, Digital Twins, Lean Construction, Construction Planning, BIM Governance, Megaproject Delivery},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1718608}
  }