Effect of using building information modelling on different phases of the project lifecycle

• Autorzy: Vighio Anees Ahmed , Girano Allah Nawaz , Monh Neardey

Identyfikatory

DOI

10.17512/bozpe.2024.13.22

• Języki publikacji: EN

Abstrakty

EN

The construction sector in emerging nations like Pakistan faces challenges due to the limited use of advanced technology. Building Information Modeling (BIM) offers key benefits, including cost savings, reduced rework, and early detection of design faults. BIM also manages large amounts of data by integrating information from various phases of the project lifecycle. This study examines BIM’s impact on planning, design, and construction phases through a survey of 40 field experts, ranked using the Likert scale. Results show that BIM enhances collaboration, supports better design pathways, and assists project managers during planning. In design, it improves information sharing, efficiency, and scheduling. During construction, BIM facilitates seamless information flow, visualized model execution, and effective risk management. The findings highlight BIM’s potential to address lifecycle challenges and improve overall project outcomes.

Słowa kluczowe

EN

building information modelling; effects; project; lifecycle; phases

PL

modelowanie informacji o budynku; cykl życia budynku; cykl życia projektu

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Budownictwo o Zoptymalizowanym Potencjale Energetycznym
• Rocznik: 2024
• Tom: Vol. 13
• Strony: 218--228
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Vighio Anees Ahmed

• Universiti Teknologi Malaysia, Malaysia

• https://orcid.org/0009-0003-9725-2764

autor

Girano Allah Nawaz

• Mehran University of Engineering & Technology, Pakistan

• https://orcid.org/0009-0007-0467-4319

autor

Monh Neardey

• CamTech University, Cambodia

• https://orcid.org/0000-0002-1914-9142

Bibliografia

• 1. Abuhussain, M.A. et al. (2024) Integrating Building Information Modeling (BIM) for optimal lifecycle management of complex structures. Structures, 60, 105831, https://doi.org/10.1016/j.istruc.2023.105831.
• 2. Ali, B. et al. (2018) BIM implementation in public sector of Pakistan construction industry. In: ICCREM 2018: Innovative Technology and Intelligent Construction – Proceedings of the International Conference on Construction and Real Estate Management 2018. American Society of Civil Engineers (ASCE), 42-51, https://doi.org/10.1061/9780784481721.005.
• 3. Ansah, M.K. et al. (2020) An integrated life cycle assessment of different façade systems for a typical residential building in Ghana. Sustainable Cities and Society, 53, 101974, https://doi.org/10.1016/ j.scs.2019.101974.
• 4. Aranda-Mena, G. et al. (2009) Building information modelling demystified: does it make business sense to adopt BIM? International Journal of Managing Projects in Business, 2(3), 419-434, https://doi.org/10.1108/17538370910971063.
• 5. Azhar, S. (2011) Building Information Modeling (BIM): Trends, benefits, risks, and challenges for the AEC Industry. Leadership and Management in Engineering, 11, 3.
• 6. Azhar, S., Hein, M. & Sketo, B. (no date) Building Information Modeling (BIM): Benefits, Risks and Challenges.
• 7. Bhatti, I.A. et al. (2018) Implementation of Building Information Modeling (BIM) in Pakistan Construction Industry. Engineering, Technology & Applied Science Research, 8(4), 3199-3202, https://doi.org/10.48084/etasr.2145.
• 8. Farooq, U. et al. (2019) Adoption and awareness of Building Information Modelling (BIM) in Pakistan. In: 1st Conference on Sustainable in Civil Engineering.
• 9. Izah, S.C., Sylva, L. & Hait, M. (2024) Cronbach’s Alpha: A cornerstone in ensuring reliability and validity in environmental Health Assessment. ES Energy and Environment. Engineered Science Publisher, https://doi.org/10.30919/esee1057.
• 10. Kasim, N. et al. (2017) Best practices of Building Information Modelling (BIM) implementation in design phase for construction project. In: IOP Conference Series: Materials Science and Engineering. Institute of Physics Publishing, https://doi.org/10.1088/1757-899X/271/1/012038.
• 11. Khan, M.M. et al. (2023) Exploring Potentials for Accelerated Construction Techniques In Pakistan. In: 8th Multidisciplinary Student Research International Conference.
• 12. Lau, S.E.N. et al. (2019) Review: Identification of roadmap of fourth construction industrial revolution. In: IOP Conference Series: Materials Science and Engineering. Institute of Physics Publishing, https://doi.org/10.1088/1757-899X/615/1/012029.
• 13. Maqsoom, A. et al. (2018) Factors influencing the construction time and cost overrun in projects: Empirical evidence from pakistani construction industry. In: Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate, 2016. Springer, 769-778, https://doi.org/10.1007/978-981-10-6190-5_69.
• 14. Panteli, C. et al. (2018) A framework for building overhang design using Building Information Modeling and Life Cycle Assessment. Journal of Building Engineering, 20, 248-255, https://doi.org/10.1016/ j.jobe.2018.07.022.
• 15. Parekh, R. & Mitchell, O. (2024) Utilization of artificial intelligence in project management. International Journal of Science and Research Archive, 13(1), 1093-1102, https://doi.org/10.30574/ijsra.2024.13.1.1779.