Exposing Uncertainty in Bid Preparation of Steel Construction Cost Estimating: II. Comparative Analysis and Quantitative C-I-V-I-L Classification
Publication: Journal of Construction Engineering and Management
Volume 142, Issue 10
Abstract
Bid prices vary greatly based on assumptions about uncertain conditions. In steel construction bidding, the contingency amount is typically used as a bid line item to factor in the unexpected—including impact of uncertainty—to the lump-sum bid price. Therefore, the goal of this research is to explore the impacts of uncertainties that contribute to contingency amounts. The costs of uncertainties in bid documents of several real-world school projects have been calculated. Contributions to the body of knowledge are (1) providing illustrative examples of real-world uncertainties from the data set; (2) statistically analyzing the relative occurrence and cost significance to increase estimators’ awareness when they evaluate uncertainties; and (3) comparing the cost significance from the data with officially recommended contingency percentages. This research enables steel estimators to make quantitative-based decisions on contingencies in their estimates should various major types of uncertainties arise without an opportunity to resolve them.
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References
AACEi (Association for the Advancement of Cost Engineering International). (2011). “Recommended Practice No. 18R-97: Cost estimate classification system—As applied in engineering, procurement, and construction for the process industries.” TCM Framework: 7.3—Cost Estimating and Budgeting, Morgantown, WV, 〈www.aacei.org/non/rps/18r-97.pdf〉 (Oct. 27, 2014).
AISC. (2005). Code of standard practice for steel buildings and bridges, Chicago.
Angelis, L., and Stamelos, I. (2000). “A simulation tool for efficient analogy based cost estimation.” Empirical Software Eng., 5(1), 35–68.
Bilginsoy, C., and Philips, P. (2000). “Prevailing wage regulations and school construction costs: Evidence from British Columbia.” J. Educ. Finance, 25(3), 415–431.
Blok, F. G. (1982). “Contingency: Definition, classification and probability.” Transactions of the 7th Int. Cost Engineering Congress, T. Bridgwater, ed., Association of Cost Engineers, London, B3-1–B3-8.
BLS (Bureau of Labor Statistics). (2010a). “May 2010 national industry-specific occupational employment and wage estimates: NAICS 236000–Construction of buildings.” U.S. Dept. of Labor, Washington, DC, 〈http://www.bls.gov/oes/2010/may/naics3_236000.htm〉 (Jul. 17, 2014).
BLS (Bureau of Labor Statistics). (2010b). “Washington-Baltimore-Northern Virginia, DC-MD-VA-WV, National Compensation Survey, April 2010.” 〈http://www.bls.gov/ncs/ocs/sp/ncbl1604.pdf〉 (Jul. 17, 2014).
BLS (Bureau of Labor Statistics). (2011). “May 2011 national industry-specific occupational employment and wage estimates: NAICS 236000–Construction of buildings: 47,0000 construction and extraction occupations.” 〈http://www.bls.gov/oes/2011/may/oessrci.htm〉 (Jul. 17, 2014).
Carr, R. I. (1989). “Cost estimating principles.” J. Constr. Eng. Manage., 545–551.
DOE (U.S. Dept. of Energy). (1997). “Cost estimating guide: Chapter 4: Types of cost estimates.”, Types of Cost Estimates. U.S. Dept. of Energy, Washington, DC, 〈https://www.directives.doe.gov/directives/0430.1-EGuide-1-Chp04/view〉 (Jul. 17, 2014).
DOE (U.S. Dept. of Energy). (2011). “Cost estimating guide.”, Washington, DC, 〈https://www.directives.doe.gov/directives/0413.3-EGuide-21/view〉 (Jul. 17, 2014).
DOL (U.S. Department of Labor). (2014). “The Davis-Bacon Act, as amended.” Davis-Bacon Act, Pub.L. 71-798, Washington, DC, 〈http://www.dol.gov/whd/regs/statutes/dbra.htm〉 (Oct. 17, 2014).
DOL (U.S. Department of Labor). (2014). “Wage determinations OnLine.gov” Washington, DC, 〈http://www.wdol.gov/dba.aspx〉 (Jul. 17, 2014).
Duzkale, A. K., and Lucko, G. (2016). “Exposing uncertainty in bid preparation of steel construction cost estimating: I. Conceptual framework and qualitative C-I-V-I-L classification.” J. Constr. Eng. Manage., 04016049.
Freire, J., and Alarcón, L. F. (2002). “Achieving lean design process: Improvement methodology.” J. Constr. Eng. Manage., 248–256.
Günhan, S., and Arditi, D. (2007). “Budgeting owner’s construction contingency.” J. Constr. Eng. Manage., 492–497.
Ho, S., and Liu, L. Y. (2004). “Analytical model for analyzing construction claims and opportunistic bidding.” J. Constr. Eng. Manage., 94–104.
Lee, G., Eastman, C. M., and Zimring, C. (2003). “Avoiding design errors: A case study of redesigning an architectural studio.” Des. Stud., 24(5), 411–435.
Liu, L., and Zhu, K. (2007). “Improving cost estimates of construction projects using phased cost factors.” J. Constr. Eng. Manage., 91–95.
Lopes, M. E. R. F., and Forster, C. H. Q. (2013). “Application of human error theories for the process improvement of requirements engineering.” Inform. Sci., 250, 142–161.
Love, P. E. D., Lopez, R., Goh, Y. M., and Davis, P. R. (2011). “Systemic modelling of design error causation in social infrastructure projects.” Procedia Eng., 14, 161–168.
Mak, S., and Picken, D. (2000). “Using risk analysis to determine construction project contingencies.” J. Constr. Eng. Manage., 130–136.
Norman, D. A. (1990). The design of everyday things, Doubleday, New York.
Reason, J. (1990). Human error, Cambridge University Press, Cambridge, U.K.
Rothwell, G. S. (2004). “Cost contingency as the standard deviation of the cost estimate for cost engineering.” 〈http://web.stanford.edu/group/siepr/cgi-bin/siepr/?q=system/files/shared/pub s/papers/pdf/04-05.pdf〉 (Oct. 27, 2014).
Safin, S., Leclercq, P., and Blavier, A. (2008). “Errors in architectural design process: Towards a cognitive model.” Proc., 2008 10th Int. Design Conf., D. Marjanovic, M. Storga, N. Pavkovic, and N. Bojcetic, eds., Univ. of Zagreb, Zagreb, Croatia, 1057–1064.
Shelton, F., and Brugh, M. (2002). “Indirect costs of contracts.” J. Constr. Account. Taxat., 12(4), 3–9.
Sherwin-Williams. (2012). “Tools, charts and tables, surface preparation standards.” Cleveland, 〈http://protective.sherwin-williams.com/pdf/tools-charts-list/surface_preparation_standards.pdf〉 (Jul. 17, 2014).
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© 2016 American Society of Civil Engineers.
History
Received: May 13, 2015
Accepted: Nov 11, 2015
Published online: Apr 12, 2016
Discussion open until: Sep 12, 2016
Published in print: Oct 1, 2016
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