Identifying and Ranking the Barriers to Buildings Designed with BIM from the point of view of the Construction Industry Experts Using Fuzzy Delphi Technique
Keywords:
Building Information Modeling (BIM); Barriers of BIM; Fuzzy Delphi TechniqueAbstract
Construction industry is one of the wide, decentralized and highly aboriginal industries in any country, therefore this industry considered as an indicator for growth and development or economic recession in many countries. This industry is currently suffering from many inefficiencies. One of the main reasons for this problem is the lack of growth in the technical field. The use of traditional methods is known as one of the main factors inhibiting productivity in the construction industry in Iran, because most of the traditional methods and their nature led to time delay and waste of resources. In addition, on account of increasing complexity of projects, there is a fundamental need to use more integrated, compatible and cost-effective approaches and technologies for the entire project life cycle. Today, one of the most thriving and flourishing technologies in AEC industry is Building Information Modeling (BIM). Despite the many advantages mentioned about the new BIM system, there are also some challenges and problems associated with it, which in some cases they can be very serious and bring great risks. In this research, with the intension of emphasizing and recognizing the barriers to BIM implementation, some challenges and obstacles of using this technique have been investigated. In order to identifying the barriers, questionnaires and interviews were used, and then the barriers were identified and ranked using the fuzzy Delphi technique. Among the sub-criteria, the lack of instructions for the use of BIM in related organizations, which is a sub-criterion of managerial and procedural barriers, ranked first.
References
Arzaghi, A., & Sadat Fard, M. (2013). A look at the technology of building information modeling (BIM) and its application in the construction industry. Quarterly report of Fars province building engineering system organization, 23, 81-82.
Bureuakinci, C. V., & Fernand Leite. (2010). London, buston butter worth. 2nd Edition. ISBN 0-408-70929-4.
Cao, D., Li, H., Wang, G., & Huang, T. (2017). Identifying and contextualizing the motivations for BIM implementation in construction projects: An empirical study in China. International Journal of Project Management, 35(4), 658–669.
Chuck Eastman, P., Teicholz, R. S., & Kathleen, L. (2011). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. Wiley, 626.
Chelson, D. E. (2010). The effects of building information modeling on construction site productivity. University of Maryland, College Park.
Eadie, R., Odeyinka, H., Browne, M., McKeown, C. & Yohanis, M. (2014). Building Information Modelling Adoption: An Analysis of the Barriers to Implementation. Journal of Engineering and Architecture, 2(1), 77-101.
Giel, B. K., & Issa, R. R. (2013). Return on investment analysis of using building information modeling in construction. Journal of Computing in Civil Engineering, 27(5), 511-521.
Hanna, A. S., Yeutter, M., & Aoun, D. G. (2014). State of practice of building information modeling in the electrical construction industry. Journal of Construction Engineering and Management, 140(12), 05014011.
Jin, R., Tang, L., & Fang, K. (2015). Investigation into the current stage of BIM application in China’s AEC industries. WIT Transactions on The Built Environment, 149, 493-503.
Kekana, T. G., Aigbavboa, C. O., & Thwala, W. D. (2014, December). Building information modelling (BIM): Barriers in adoption and implementation strategies in the South Africa construction industry. In International Conference on Emerging Trends in Computer and Image Processing (ICETCIP'2014) December.
Khosrowshahi, F., & Arayici, Y. (2012). Roadmap for implementation of BIM in the UK construction industry. Engineering, construction and architectural management, 19(6), 610-635.
Knight, D., Roth, S., & Rosen, S. L. (2010). Using BIM in HVAC design. Ashrae Journal, 52(6), 24-29.
Kymmell, W. (2008). Building information modeling: Planning and managing construction projects with 4D CAD and simulations (McGraw-Hill construction series). McGraw-Hill Education.
Lee, S. I., Bae, J. S., & Cho, Y. S. (2012). Efficiency analysis of Set-based Design with structural building information modeling (S-BIM) on high-rise building structures. Automation in construction, 23, 20-32.
McGraw Hill Construction. (2014). The business value of BIM for construction in global markets. Bedford, MA.
Morlhon, R., Pellerin, R., & Bourgault, M. (2014). Building information modeling implementation through maturity evaluation and critical success factors management. Procedia Technology, 16, 1126-1134.
Paravan, K. (2012). Estimating the impact of building information modeling (BIM) utilization building projects performance.
Reinertsen, D. (1997). Managing the design factory. Simon and Schuster.
Santos, R., Costa, A. A., & Grilo, A. (2017). Bibliometric analysis and review of Building Information Modelling literature published between 2005 and 2015. Automation in Construction, 80, 118-136.
Salazar, G. & Almedia, J. (2004). Use of the parametric building model in civil and environmental engineering at WPI. At the ASEE annual conference, Salt Lake City, Utah, Jun 20-23.
Smith, P. (2014). BIM implementation–global strategies. Procedia engineering, 85, 482-492.
Zakari, Z., Ali, N. M. A., Haron, A. T., Ponting, A. M., & Hamid, Z. A. (2014). Exploring the barriers and driving factors in implementing building information modelling (BIM) in the Malaysian construction industry: A preliminary study. The Journal of the Institution of Engineers, Malaysia, 75(1).
Zou, Y., Kiviniemi, A., & Jones, S. W. (2017). A review of risk management through BIM and BIM-related technologies. Safety science, 97, 88-98.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
