A framework for evaluating an integrated BIM ROI based on preventing rework in the construction phase
Abstract
Construction firms attempt to estimate building information modeling (BIM) return on investment (ROI) to confirm whether BIM effects are sufficiently positive to satisfy decision-makers. Previous studies have presented the ROI in various ways, but a more definitive answer is required to consider possible various effects. Therefore, this study proposes a framework for an integrated BIM ROI, a simple, easy-to-understand, and practical tool that is established from substantive requirements from experts in the construction field. The framework consists of a three-phase process including a total of 11 steps. These phases are assessment planning, primary BIM ROI based on preventing rework, and integrated BIM ROI. Based on the proposed framework, an actual effect analysis of BIM project was conducted and the suitability of the methodology was discussed. The results of applying the framework showed that the primary ROI based on prevented rework costs was about 167.8% and the integrated BIM ROI to consider the overall effect of applying BIM was about 476.72%. In addition, the expert’s discussion confirmed that the framework can be employed as a practical means to evaluate BIM performance. This framework can be provided as a guideline to present an integrated BIM effect and assist to efficiently BIM application.
Keyword : building information modelling (BIM), return on investment (ROI), design review, preventing rework, analytic hierarchy process (AHP)
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Anumba, C., Dubler, C., Goodman, S., Kasprzak, C., Kreider, R., Messner, J., Saluja, C., & Zikic, N. (2010). The BIM project execution planning guide and templates (Version 2.0). University Park, PA: CIC Research Group, Department of Architectural Engineering, the Pennsylvania State University. https://www.bim.psu.edu
Autodesk. (2007). BIM return on investment.
Azhar, S. (2011). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering, 11(3), 241–252. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127
Barlish, K., & Sullivan, K. (2012). How to measure the benefits of BIM – A case study approach. Automation in Construction, 24, 149–159. https://doi.org/10.1016/j.autcon.2012.02.008
Bernstein, H. M., Jones, S. A., Russo, M. A., Laquidara-Carr, D., Taylor, W., Ramos, J., Lorenz, A., & Yamada, T. (2014). SmartMarket Report: The business value of BIM for construction in major global markets. McGraw Hill Construction.
Botchkarev, A., Andru, P., & Chiong, R. (2011). A return on investment as a metric for evaluating information systems: taxonomy and application. Interdisciplinary Journal of Information, Knowledge & Management, 6, 245–269. https://doi.org/10.28945/1535
Bryde, D., Broquetas, M., & Volm, J. M. (2013). The project benefits of building information modelling (BIM). International Journal of Project Management, 31(7), 971–980. https://doi.org/10.1016/j.ijproman.2012.12.001
Ghaffarianhoseini, A., Tookey, J., Ghaffarianhoseini, A., Naismith, N., Azhar, S., Efimova, O., & Raahemifar, K. (2017). Building information modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges. Renewable and Sustainable Energy Reviews, 75, 1046–1053. https://doi.org/10.1016/j.rser.2016.11.083
Giel, B., Issa, R. R. A., & Olbina, S. (2010). Return on investment analysis of building information modeling in construction. In W. Tizani (Ed.), The International Conference on Computing in Civil and Building Engineering (pp. 153–158). Nottingham University Press.
Ham, N., Moon, S., Kim, J. H., & Kim, J. J. (2018). Economic analysis of design errors in BIM-based high-rise construction projects: Case study of Haeundae L project. Journal of Construction Engineering and Management, 144(6), 05018006. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001498
Khanzode, A., Fischer, M., & Reed, D. (2008). Benefits and lessons learned of implementing building virtual design and construction (VDC) technologies for coordination of mechanical, electrical, and plumbing (MEP) systems on a large healthcare project. ITcon, 13, 324–342.
Lee, G., Park, K. H., & Won, J. S. (2012). D3 city project – economic impact of BIM-assisted design validation. Automation in Construction, 22, 577–586. https://doi.org/10.1016/j.autcon.2011.12.003
Lee, M., Cha, M., & Lee, U. (2018). Analysis of BIM impact on preventing rework in construction phase. Journal of the Korea Institute of Building Construction, 18(2), 169–176. https://doi.org/10.5345/JKIBC.2018.18.2.169
Lynch, K., Akridge, J. T., Schaffer, S. P., & Gray, A. W. (2006). A framework for evaluating return on investment in management development programs. International Food and Agribusiness Management Review, 9(2), 54–74.
Qian, A. Y. (2012). Benefits and ROI of BIM for multi-disciplinary project management. National University of Singapore.
Saaty, T. L. (2005). Analytic hierarchy process. In Encyclopedia of Biostatistics, 1. https://doi.org/10.1002/0470011815.b2a4a002
Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts & applications of the analytic hierarchy process (Vol. 175). Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-3597-6
Sacks, R., Eastman, C. M., Lee, G., & Orndorff, D. (2005). A target benchmark of the impact of three-dimensional parametric modeling in precast construction. PCI Journal, 50, 126–139. https://doi.org/10.15554/pcij.07012005.126.139
Walasek, D., & Barszcz, A. (2017). Analysis of the adoption rate of building information modeling [BIM] and its return on investment [ROI]. Procedia Engineering, 172, 1227–1234. https://doi.org/10.1016/j.proeng.2017.02.144
Won, J., & Lee, G. (2016). How to tell if a BIM project is successful: A goal-driven approach. Automation in Construction, 69, 34–43. https://doi.org/10.1016/j.autcon.2016.05.022
Won, J., Cheng, J. C., & Lee, G. (2016). Quantification of construction waste prevented by BIM-based design validation: Case studies in South Korea. Waste Management, 49, 170– 180. https://doi.org/10.1016/j.wasman.2015.12.026
Young Jr., N. W., Jones, S. A., Bernstein, H. M., & Gudgel, J. E. (2009). The business value of BIM SmartMarket Report. McGraw Hill Construction.