Case Studies
Jul 9, 2014

State of Practice of Building Information Modeling in the Electrical Construction Industry

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Publication: Journal of Construction Engineering and Management
Volume 140, Issue 12

Abstract

For decades, the North American construction industry has seen a decline in productivity due to many underlying reasons. Moreover, the construction industry in general and electrical construction companies in particular struggled with coordination and productivity. Within the last decade, building information modeling (BIM) has become the means for a real solution to these problems. This paper attempts to highlight the practices and state of BIM in the electrical construction industry. Through an extensive survey and interview process, this research has provided three main conclusions. First, electrical contractors have not yet advanced their implementation of BIM, with 59% of respondents having three years or less experience with BIM. Second, in order to maintain a positive outcome for the use of BIM on a project, contractors should maintain one to three staff members as BIM specialists, adding a cost of 2% or less from the total project cost to implement BIM. Third, BIM does indeed reduce field conflicts and improve coordination. Other than quantifying the current state of practice and impact of BIM on electrical contractors and approximating its future use in this industry, this study contributes to the body of knowledge about BIM by offering the electrical contractors recommendations that will assist them in allocating the proper resources and to understand the evolving use of BIM.

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References

Allmon, E., Haas, C. T., Borcherdine, J. D., and Goodrum, P. M. (2000). “U.S. construction labor productivity trends, 1970–1998.” J. Constr. Eng. Manage., 97–104.
Arayici, Y., Coates, P., Koskela, L., Kagioglou, M., Usher, C., and O’Reilly, K. (2011). “Technology adoption in the BIM implementation for lean architectural practice.” J. Autom. Constr., 20(2), 189–195.
Autodesk Architectural Desktop (3.3) [Computer software]. Autodesk, San Rafael, CA.
Autodesk Revit [Computer software]. Autodesk, San Rafael, CA.
Azhar, S., and Cochran, S. (2009). “Current status of building information modeling (BIM) adaptability in the U.S. electrical construction industry.” Proc., Fifth Int. Conf. on Construction in the 21st Century, Auburn Univ., Auburn, AL.
Azhar, S., Hein, M., and Sketo, B. (2008). “Building information modeling (BIM): Benefits, risks and challenges.” Proc., 44th ASC National Conf., Auburn, AL.
Becche, A., Corradi, M., Foce, F., and Pedemonte, O. (2004). Construction history: Research perspectives in Europe, Kim Williams Books, Turin, Italy.
Bentley Systems [Computer software]. Bentley Systems, London, U.K.
Business Roundtable. (1982). “Construction productivity measurement.”, New York.
Cerovsek, T. (2011). “A review and outlook for a ‘building information model’ (BIM): A multi-standpoint framework for technological development.” J. Adv. Eng. Inf., 25(2), 224–244.
Cunz, D., and Larson, D. (2006). “Building information modeling.” Under construction: The newsletter of the ABA forum on the construction industry, 〈http://www.legalist.com/lasvegas2012/eunder_construction_12_06.pdf〉 (Nov. 8, 2012).
“Dipper shovel.” (2012). Encyclopedia Britannica, 〈http://www.britannica.com/EBchecked/topic/164702/dipper-shovel〉 (Aug. 15, 2012).
Dossick, C., and Neff, G. (2010). “Organizational divisions in BIM-enabled commercial construction.” J. Constr. Eng. Manage., 459–467.
Goedert, J., and Meadati, P. (2008). “Integrating construction process documentation into building information modeling.” J. Constr. Eng. Manage., 509–516.
Graphisoft [Computer software]. Graphisoft SE, Budapest, Hungary.
Grillo, A., and Jardim-Goncalves, R. (2010). “Value proposition on interoperability of BIM and collaborative working environments.” J. Autom. Constr., 19(5), 522–530.
Hanna, A. S., Russel, J. S., Nordheim, E. V., and Bruggink, M. J. (1999). “Impact on change orders on labor efficiency for electrical construction.” J. Constr. Eng. Manage., 176–184.
Howard, R., and Bjork, B. (2008). “Building information modelling—Experts’ views on standardisation and industry deployment.” J. Adv. Eng. Inf., 22(2), 271–280.
Howell, I., and Batcheler, B. (2005). “Building information modeling two years later—Huge potential, some success and several limitations.” Laiserin Letter, 〈http://www.laiserin.com/features/bim/newforma_bim.pdf〉 (Jan. 9, 2013).
McGraw Hill Construction. (2008). Building information modeling (BIM)—Transforming design and construction to achieve greater industry productivity, New York.
McGraw Hill Construction. (2009). The business value of BIM, New York.
Mihindu, S., and Arayici, Y. (2008). “Digital construction through BIM systems will drive the re-engineering of construction business practices.” Proc., Visualisation, 2008 Int. Conf., IEEE, New York.
Nemetschek [Computer software]. Nemetschek AG, Munich, Germany.
Oke, A. E., Ogunsami, D. R., and Ogunlana, S. (2012). “Establishing a common ground for the use of structural equation modelling for construction related research studies.” Aust. J. Constr. Econ. Build., 12(3), 89–94.
Prieto, R. (2011). “Viewpoint: Engineering-construction needs a new model.” Engineering news-records, 〈http://enr.construction.com/opinions/viewpoint/2011/1219-ec-needs-a-new-business-model.asp〉 (Mar. 27, 2013).
Simonian, L. G. (2009). “Building information modeling for electrical contractors: Current practice and recommendations.” ELECTRI-International and California Polytechnic State Univ., San Luis Obispo, CA.
Young, N. W., Jones, S. A., and Bernstein, H. M. (2007). “Interoperability in the construction industry.” SmartMarket Rep., McGraw Hill Construction, New York.
Yuan, K., Wu, R., and Bentler, P. M. (2011). “Ridge structural equation modelling with correlation matrices for ordinal and continuous data.” Br. J. Math. Stat. Psychol., 64(1), 107–133.
Zhai, D., and Goodrum, P. M. (2009). “The relationship between information technology and construction productivity: A view from country-level data.” Proc., Construction Research Congress, ASCE, Reston, VA, 111–120.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 140Issue 12December 2014

History

Received: Oct 23, 2013
Accepted: May 2, 2014
Published online: Jul 9, 2014
Published in print: Dec 1, 2014
Discussion open until: Dec 9, 2014

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Authors

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Awad S. Hanna, F.ASCE [email protected]
Professor and Chair, Construction Engineering and Management, Univ. of Wisconsin-Madison, 2320 Engineering Hall, 1415 Engineering Dr., Madison, WI 53706 (corresponding author). E-mail: [email protected]
Michael Yeutter [email protected]
Project Engineer, The Boldt Company, 660 John Nolen Dr., Madison, WI 53713. E-mail: [email protected]
Diane G. Aoun [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, 2256 Engineering Hall, 1415 Engineering Dr., Madison, WI 53706. E-mail: [email protected]

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