Informes de la Construcción, Vol 67, No 540 (2015)

Un marco de relación entre la capacidad de BIM para la práctica de los aparejadores y los resultados del proyecto

P. F. Wong
University of Malaya, Malasia

H. Salleh
University of Malaya, Malasia

F. A. M. Rahim
University of Malaya, Malasia


La industria de la construcción ha sufrido históricamente desviaciones en las mediciones de los materiales empleados frente a las cantidades proyectadas. Los aparejadores juegan un papel clave en este aspecto como responsables de la recepción de materiales. Sin embargo, el trabajo de medición es tedioso hasta el punto de afectar al rendimiento del proyecto. La aplicación del Building Information Modeling (BIM) está logrando mejorar este trabajo. Aun así, su utilización es baja entre los aparejadores debido a la escasa formación recibida sobre las posibilidades del BIM. Esta investigación busca identificar las capacidades del BIM aplicado a la medición de materiales y examinar su relación con el rendimiento del proyecto desarrollando un marco de relación. Mediante encuestas y entrevistas realizadas en Malasia, se obtuvieron datos que revelaron que varias capacidades de BIM se correlacionan de manera significativa con el rendimiento del proyecto. El marco de relación orientará a los aparejadores sobre las capacidades identificadas de BIM para obtener mejores resultados del proyecto.

Palabras clave

Building Information Modeling (BIM); aparejadores; capacidad; rendimiento del proyecto; marco de relación

Texto completo:



(1) Chan, D. W. M., Kumaraswamy, M. M. (1997). A comparative study of causes of time overruns in Hong Kong construction projects. International Journal of Project Management, 15(1): 55-63.

(2) Sun, M., Meng, X. (2009). Taxonomy for change causes and effects in construction projects. International Journal of Project Management, 27(6): 560-572.

(3) Meng, X. (2012). The effect of relationship management on project performance in construction. International Journal of Project Management, 30(2): 188-198.

(4) Olatunji, O. A., Sher, W., Gu, N. (2010). Building Information Modeling and Quantity Surveying Practice. Emirates Journal for Engineering Research, 15(1): 67-70.

(5) Al-Reshaid, K., Kartam, N., Tewari, N., Al-Bader, H. (2005). A project control process in pre-construction phases: Focus on effective methodology. Engineering, Construction and Architectural Management, 12(4): 351-372.

(6) Gibson, J., Hamilton, M. (1994). Analysis of pre-project planning effort and success variables for capital facility projects. Austin, TX: Construction Industry Institute.

(7) Mitchell, D. (2012). 5D BIM: Creating Cost Certainty and Better Buildings. In 2012 RICS Cobra Conference, Las Vegas, Nevada USA.

(8) Hannon, J. J. (2007). Estimators' functional role change with BIM. AACE International Transactions, 1-8.

(9) Nagalingam, G., Jayasena, H. S., Ranadewa, K. (2013, 14-15 June). Building Information Modelling and Future Quantity Surveyor's Practice in Sri Lankan Construction Industry. In Second World Construction Symposium 2013: Socio-Economic Sustainability in Construction (pp. 81-92). Colombo, Sri Lanka.

(10) Ho, T. (2012). Divisional News & Activities. Quantity Surveying Division: Chairman's Message.

(11) RICS. (2012). Building Information Modeling Survey Report. Royal Institution of Chartered Surveyors.

(12) Pittard, S. (2011). BIM concept and impact.

(13) Smith, P. (2014). BIM & the 5D project cost manager. Procedia-Social and Behavioral Sciences, 119: 475-484.

(14) Thurairajah, N., Goucher, D. (2012, 26-29 June). Usability and impact of BIM on early estimation practices: a cost consultant's perspective. In International Congress on Construction Management Research (pp. 555-570). Montreal, Canada.

(15) Matipa, W. M., Cunningham, P., Naik, B. (2010, 6-8 September). Assessing the impact of new rules of cost planning on building information model (BIM) schema pertinent to quantity surveying practice. In Procs 26th Annual ARCOM Conference (pp. 625-632). Leeds, UK.

(16) Stanley, R., Thurnell, D. (2014). The benefits of, and barriers to, implementation of 5D BIM for quantity surveying in New Zealand. Australasian Journal of Construction Economics and Building, 14(1):105-117.

(17) Cheung, F. K. T., Rihan, J., Tah, J., Duce, D., Kurul, E. (2012). Early stage multi-level cost estimation for schematic BIM models. Automation in Construction, 27: 67-77.

(18) Monteiro, A., and Poças Martins, J. (2013). A survey on modeling guidelines for quantity takeoff-oriented BIM-based design. Automation in Construction, 35: 238-253.

(19) Elbeltagi, E., Hosny, O., Dawood, M., Elhakeem, A. (2014). BIM-based cost estimation/ monitoring for building construction. International Journal of Engineering Research and Applications, 4(7): 56-66.

(20) Lee, S. K., Kim, K. R., Yu, J. H. (2014). BIM and ontology-based approach for building cost estimation. Automation in Construction, 41: 96-105.

(21) Staub-French, S., Fisher, M., Kunz, J., and Paulson, A. (2003). A generic feature-driven activity-based cost estimation process. Advance Engineering Informatics, 17(1): 23-39.

(22) Ma, Z. L., Wei, Z. H., Song, W., Lou, Z. (2011). Application and extension of the IFC standard in construction cost estimating for tendering in China. Automation in Construction, 20(2):196-204.

(23) Nour, M., Hosny, O., Elhakeem, A. (2012). A BIM based energy and lifecycle cost analysis/optimization approach. International Journal of Engineering Research and Applications, 2(6): 411-418.

(24) Wang, X. Y., Yung, P., Luo, H.B., Truijens, M. (2014). An innovative method for project control in LNG project through 5D CAD: A case study. Automation in Construction, 45: 126-135.

(25) Bryman, A., Bell, E. (2007). Business research methods (2nd ed.): Oxford University Press.

(26) Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.): SAGE Publications, Incorporated.

(27) Toor, S., Ogunlana, S. O. (2010). Beyond the 'iron triangle': Stakeholder perception of key performance indicators (KPIs) for large-scale public sector development projects. International Journal of Project Management, 28(3): 228-236.

(28) Creswell, J. W. (2005). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (second ed.). New Jersey: Pearson Merrill Prentice Hall.

(29) Field, A. (2009). Discovering statistics using SPSS. Sage publications.

(30) Gee, C. 2010. The influence of building information modeling on the quantity surveying profession. (Unpublished academic exercise). South Africa: Built Environment and Information Technology.

(31) Burns & McDonnell. (2008). Seeing the future: BIM. Benchmark, 3: 7-8.

(32) Ghanem, A. A., Wilson, N. (2011, 6-9 April). Building information modelling applied on a major csu capital project: A success story. In 47th ASC Annual International Conference (pp. 2007-2012). University of Nebraska-Lincoln, Omaha, NE.

(33) Jiang, X. (2011). Developments in cost estimating and scheduling in BIM technology (Unpublished Master's thesis). Boston, MA: Northeastern University.

(34) Shen, Z., Issa, R. R. A. (2010). Quantitative evaluation of the BIM-assisted construction detailed cost estimates. Journal of Information Technology in Construction, 15: 234-257.

(35) Hsu, R. L. (2004). Potential efficiency gains in the construction industry from the proper use of information technology (Unpublished master's thesis). Cambridge, MA: Massachusetts Institute of Technology.

(36) Aibinu, A. A., Venkatesh, S. (2012, 26-29 June). The rocky road to BIM adoption: quantity surveyors perspectives. In CIB Joint International Conference on Management of construction: research to practice (pp. 539-554). Montreal, Canada.

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