Use of BIM with photogrammetry support in small construction projects. Case study for commercial franchises
Building Information Modelling for small constructions is a useful working tool aimed at providing alternative solutions in building engineering. However, it is not commonly applied to this purpose, and even less together with photogrammetry techniques. This work seeks to analyse the advantages of this methodology with photogrammetry support in small projects. To this end, 121 commercial franchise projects in the field of perfume and cosmetic industry were studied in order to assess the benefits of BIM methodology. These projects were developed between 2011 and 2016. BIM protocols were shown to achieve 20% reduction in costs per project and in working periods (4.11 days), which led to a productivity improvement exceeding 27%. The total period until opening to public was observed to decrease in 10.09 days, and the number of inquiries and doubts during the project execution phase handled by the construction companies were seen to reduce by 25%. Moreover, the return of investment (ROI) corresponding to the implementation of BIM protocols was found to be more favourable than that of CAD (41.88%), with associated internal rate of return (IRR) of 34.5%. The validity of the results is limited to the scope of works for small commercial premises.
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Autodesk. (2018). REVIT Building information modeling. BIM’s return on investment. http://static.ziftsolutions.com/files/8a7c9fef2693aa1e0126d282571c02c7
Barazzetti, L., Banfi, F., Brumana, R., & Previtali, M. (2015). Creation of parametric BIM objects from point clouds using NURBS. The Photogrammetric Record, 30, 339–362. https://doi.org/10.1111/phor.12122
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
Braun, A., Tuttas, S., & Stilla, U. (2015). A concept for automated construction progress monitoring using BIM-based geometric constraints and photogrammetric point clouds. ITcon, 20(8), 68–79.
Braun, A., & Borrmann, A. (2019). Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning. Automation in Construction, 106, 102879. https://doi.org/10.1016/j.autcon.2019.102879
Candelario-Garrido, A., García-Sanz-Calcedo, J., & Reyes Rodríguez, A. M. (2017). A quantitative analysis on the feasibility of 4D planning graphic systems versus conventional systems in building projects. Sustainable Cities and Society, 35, 378–384. https://doi.org/10.1016/j.scs.2017.08.024
Carretero-Ayuso, M. J., Garcia-Sanz-Calcedo, J., & RodríguezJiménez, C. E. (2018). Characterisation and appraisal of the technical specifications in the project of brick facades in Spain. Journal of Performance of Constructed Facilities, 32(3), 04018012. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001149
Dainty, A., Leiringer, R., Fernie, S., & Harty, C. (2017). BIM and the small construction firm: a critical perspective. Building Research & Information, 45(6), 696–709. https://doi.org/10.1080/09613218.2017.1293940
Doumbouya, L., Gao, G., & Guan, C. (2016). Adoption of the Building Information Modeling (BIM) for construction project effectiveness: The review of BIM benefits. American Journal of Civil Engineering and Architecture, 4(3), 74–79.
Ferraro, M. B., Colubi, A., González-Rodríguez, G., & Coppi, R. (2011). A determination coefficient for a linear regression model with imprecise response. Environmetrics, 22(4), 516–529. https://doi.org/10.1002/env.1056
Furlong, C., De Silva, S., Gan, K., Guthrie, L., & Considine, R. (2017). Risk management, financial evaluation and funding for wastewater and stormwater reuse projects. Journal of Environmental Management, 191, 83–95. https://doi.org/10.1016/j.jenvman.2017.01.007
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. K., & Issa, R. A. A. (2013). Return on investment analysis of using Building Information Modeling in construction. Journal of Computing in Civil Engineering, 27(5), 511–521. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000164
Huang, J., & You, S. (2012). Point cloud matching based on 3D self-similarity. In 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, RI, USA. https://doi.org/10.1109/CVPRW.2012.6238913
Jernigan, F. (2008). Big BIM little BIM: the practical approach to Building Information Modeling integrated practice done the right way! (2nd ed.). Salisbury.
Juan, Y.-K., & Hsing, N.-P. (2017). BIM-based approach to simulate building adaptive performance and life cycle costs for an open building design. Applied Science, 7(8), 837. https://doi.org/10.3390/app7080837
Khaja, M., Seo, J. D., & McArthur, J. J. (2016). Optimizing BIM metadata manipulation using parametric tools. Procedia Engineering, 145, 259–266. https://doi.org/10.1016/j.proeng.2016.04.072
Koranda, C., Chong, W. K., Kim, C., Chou, J. S., & Kimet, C. (2012). An investigation of the applicability of sustainability and lean concepts to small construction projects. KSCE Journal of Civil Engineering, 16(5), 699–707. https://doi.org/10.1007/s12205-012-1460-5
Laing, R., Leon, M., Mahdjoubi, L., & Scott, J. (2014). Integrating rapid 3D data collection techniques to support BIM design decision making. Procedia Environmental Sciences, 22, 120–130. https://doi.org/10.1016/j.proenv.2014.11.012
Lévy, F. (2011). BIM in small-scale sustainable design. John Wiley & Sons. https://doi.org/10.1002/9781119572619
Li, J. (2014). From CAD to the rapid development of BIM. Applied Mechanics and Materials, 580–583, 3175–3178. https://doi.org/10.4028/www.scientific.net/AMM.580-583.3175
Lin, Y. C. (2015). Use of BIM approach to enhance construction interface management: a case study. Journal of Civil Engineering and Management, 21(2), 201–217. https://doi.org/10.3846/13923730.2013.802730
Lin, Y. C., Lee H. Y., & Yang, T. (2016). Developing as-built BIM model process management system for general contractors: A case study. Journal of Civil Engineering and Management, 22(5), 608–621. https://doi.org/10.3846/13923730.2014.914081
Liu, Y., Van Nederveen, S., & Hertogh, M. (2017). Understanding effects of BIM on collaborative design and construction: An empirical study in China. International Journal of Project Management, 35(4), 686–698. https://doi.org/10.1016/j.ijproman.2016.06.007
Martínez Rodriguez, E. (2005). Errores frecuentes en la interpretación del coeficiente de determinación lineal. Anuario Jurídico y Económico Escurialense, 38, 315–332.
Migilinskas, D., Pavlovskis, M., Urba, I., & Zigmund, V. (2017). Analysis of problems, consequences and solutions for BIM application in reconstruction projects. Journal of Civil Engineering and Management, 23(8), 1082–1090. https://doi.org/10.3846/13923730.2017.1374304
Mill, T., Alt, A., & Liias, R. (2014). Combined 3D building surveying techniques – terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes. Journal of Civil Engineering and Management, 19(Supplement 1), S23–S32. https://doi.org/10.3846/13923730.2013.795187
Moayeri, V., Moselhi, O., & Zhu, Z. (2017). BIM-based model for quantifying the design change time ripple effect. Canadian Journal of Civil Engineering, 44(8), 626–642. https://doi.org/10.1139/cjce-2016-0413
Morency, L.-P., Rahimi, A., & Darrell, T. (2002). Fast 3D model acquisition from stereo images. In Proceedings of the First International Symposium on 3D Data Processing Visualization and Transmission. Padova, Italy. https://doi.org/10.1109/TDPVT.2002.1024057
Morrissey, M. B., & Ruxton, G. D. (2018). Multiple regression is not multiple regressions: the meaning of multiple regression and the non-problem of collinearity. Philosophy, Theory, and Practice in Biology, 10(3). https://doi.org/10.3998/ptpbio.16039257.0010.003
Omar, T., & Nehdi, M. L. (2016). Data acquisition technologies for construction progress tracking. Automation in Construction, 70, 143–155. https://doi.org/10.1016/j.autcon.2016.06.016
Phillips, J. J., Brantley, W., & Phillips, P. P. (2011). Project management ROI: A step-by-step guide for measuring the impact and ROI for projects. Wiley. https://doi.org/10.1002/9781118122587
Reizgevičius, M., Ustinovičius, J., Cibulskienė, D., Kutut, V., & Nazarko, L. (2018). Promoting sustainability through investment in Building Information Modeling (BIM) technologies: A design company perspective. Sustainability, 10(3), 600. https://doi.org/10.3390/su10030600
Santa Cruz, A. J. (2003). La fotogrametría digital en el levantamiento de planos de edificios. Informes de la Construcción, 55, 31–40. https://doi.org/10.3989/ic.2003.v55.i488.539
Sanhudo, L., Ramos, N. M. M., Poças Martins, J., Almeida, R. M. S. F., & Cardoso,V. (2020). A framework for insitu geometric data acquisition using laser scanning for BIM modelling. Journal of Building Engineering, 28, 101073. https://doi.org/10.1016/j.jobe.2019.101073
Santos, R., Aguiar-Costa, A., Silvestre, J. D., & Pyl, L. (2019). Informetric analysis and review of literature on the role of BIM in sustainable construction. Automation in Construction, 103, 221–234. https://doi.org/10.1016/j.autcon.2019.02.022
Sigalov, K., & König, M. (2017). Recognition of process patterns for BIM-based construction schedules. Advanced Engineering Informatics, 33, 456–472. https://doi.org/10.1016/j.aei.2016.12.003
Solís-Rodríguez, V., & González-Díaz, M. (2017). Differences in contract design between successful and less successful franchises. European Journal of Law and Economics, 44(3), 483–502. https://doi.org/10.1007/s10657-015-9497-9
Spain’s National Statistics Institute. (2016). Labor cost components (Quarter 4/2015). http://www.ine.es/dyngs/INEbase/es/operacion.htm
Sun, C., Jiang, S., Skibniewski, M. J., Man, Q., & Shen, L. (2017a). A literature review of the factors limiting the application of BIM in the construction industry. Technological and Economic Development of Economy, 23(5), 764–779. https://doi.org/10.3846/20294913.2015.1087071
Sun, T., Xu, Z., Yuan, J., Liu, C., & Ren, A. (2017b). Virtual experiencing and pricing of room views based on BIM and oblique photogrammetry. Procedia Engineering, 196, 1122–1129. https://doi.org/10.1016/j.proeng.2017.08.071
Tsokos, C., & Wooten, R. (2016). The joy of finite mathematics. Elsevier.
Tuttas, S., Braun, A., Borrmann, A., & Stilla, U. (2015). Validation of BIM components by photogrammetric point clouds for construction site monitoring. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2, 231–237. https://doi.org/10.5194/isprsannals-II-3-W4-231-2015
Ustinovichius, L., Popov, V., Cepurnaite, J., Vilutienė, T., & Miedziałowski, C. (2018). BIM-based process management model for building design and refurbishment. Archives of Civil and Mechanical Engineering, 18(4), 1136–1149. https://doi.org/10.1016/j.acme.2018.02.004
Wang, H., Shen, S., & Lu, X. (2012). Comparison of the camera calibration between photogrammetry and computer vision. In Proceedings of 2012 International Conference on System Science and Engineering (ICSSE) (pp. 358–362). Dalian, Liaoning, China. https://doi.org/10.1109/ICSSE.2012.6257207
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
Zamora-Polo, F., Sánchez-Cortés, M. M., Reyes-Rodríguez, A. M., & Sanz-Calcedo, J. G. (2019). Developing project manager’s competences using Building Information Modeling. Applied Sciences, 9(19), 4006. https://doi.org/10.3390/app9194006
Zhang, M., Pan, Z., Huang, X., Xiang, N., Wang, S., & Zhu, P. (2014). EasyHome: An online virtual home decoration system. Journal of Visualization and Computer Animation, 25(2), 101–113. https://doi.org/10.1002/cav.1549
Zou, Y., Kiviniemi, A., & Jones, S. W. (2017). A review of risk management through BIM and BIM-related technologies. Safety Science, 97, 88–98. https://doi.org/10.1016/j.ssci.2015.12.027