Classification of Construction Projects

In order to address construction project requirements and specifications, scholars and practitioners need to establish taxonomy according to a scheme that best fits their need. While existing characterization methods are continuously being improved, new ones are devised to cover project properties which have not been previously addressed. One such method, the Project Definition Rating Index (PDRI), has received limited consideration strictly as a classification scheme. Developed by the Construction Industry Institute (CII) in 1996, the PDRI has been refined over the last two decades as a method for evaluating a project's scope definition completeness during front-end planning (FEP). The main contribution of this study is a review of practical project classification methods, and a discussion of how PDRI can be used to classify projects based on their readiness in the FEP phase. The proposed model has been applied to 59 construction projects in Ontario, and the results are discussed.




References:
[1] D. A. Young, C. T. Haas, P. Goodrum, and C. Caldas, “Improving
construction supply network visibility by using automated materials
locating and tracking technology,” Journal of Construction Engineering
and Management, 137(11), 2011, pp. 976-984.
[2] M. Miozzo, and P. Dewick, “Innovation in construction: a European
analysis,” Edward Elgar Publishing, 2004.
[3] A. M. Blayse, and K. Manley, “Key influences on construction
innovation,” Construction Innovation: Information, Process,
Management, 4(3), 2004, pp. 143-154. [4] G. Edward Gibson, Jr., Y. Wang, C. Cho, and M. Pappas, “What is preproject
planning, anyway?” Journal of Management in Engineering,
22(1), 2006, pp. 35-42
[5] G. Edward Gibson, Jr., and R. Gebken, “Design quality in pre-project
planning: applications of the Project Definition Rating Index,” Building
Research & Information, 31(5), 2003, pp. 346-356.
[6] A. S. Akintoye, and M. J. MacLeod, “Risk analysis and management in
construction,” International Journal of Project Management, 15(1),
1997, pp. 31-38.
[7] T. Raz, and E. Michael, “Use and benefits of tools for project risk
management,” International Journal of Project Management, 19(1),
2001, pp. 9-17.
[8] Construction Industry Institute (CII), “Managing a portfolio of projects,
metrics for improvement,” CII Annual Conference, Indianapolis, 2014.
[9] G. Santana, “Classification of construction projects by scales of
complexity, International Journal of Project Management, 8(2), 1990,
pp. 102-104.
[10] M. Safa, C. T. Haas, J. Gray, and K. Hipel, “Electronic Process
Management System based Front End Planning Tool (FEPT),” Journal
of Construction Engineering and Project Management, 3(2), 2013, pp.
1-12.
[11] R. Turner, M. Huemann, and A. Keegan, “Human resource management
in the project-oriented organization: employee well-being and ethical
treatment,” International Journal of Project Management, 26(5), 2008,
pp. 577-585.
[12] M. Safa, “An Advanced Construction Supply Nexus Model,” University
of Waterloo, PhD Thesis, 2013.
[13] D. Dvir, S. Lipovetsky, A. Shenhar, and A. Tishler, “In search of project
classification: a non-universal approach to project success factors,”
Research policy, 27(9), 1998, pp. 915-935.
[14] R. T. De Oliveira Lacerda, L. Ensslin, L., and S. R. Ensslin, “A
performance measurement framework in portfolio management: A
constructivist case,” Management Decision, 49(4), 2011, pp. 648-668.
[15] D. Kahneman, and A. Tversky, “Prospect theory: An analysis of
decision under risk,” Econometrica: Journal of the Econometric Society,
1979, pp. 263-291.
[16] B. Flyvbjerg, “Procedures for dealing with optimism bias in transport
planning,” The British Department for Transport, 2004.
[17] D. Baccarini, “The concept of project complexity—a review,”
International Journal of Project Management, 14(4), 1996, pp. 201-204.
[18] K. I. Gidado, “Project complexity: the focal point of construction
production planning,” Construction Management & Economics, 14(3),
1996, pp. 213-225.
[19] S. Austin, A. Newton, J. Steele, and P. Waskett, “Modelling and
managing project complexity,” International Journal of project
management, 20(3), 2002, pp. 191-198.
[20] M. Bosch-Rekveldt, Y. Jongkind, H. Mooi, H. Bakker, and A.
Verbraeck, “Grasping project complexity in large engineering projects:
The TOE (Technical, Organizational and Environmental) framework,”
International Journal of Project Management, 29(6), 2011, pp. 728-739.
[21] H. R. Kerzner, “Project management: a systems approach to planning,
scheduling, and controlling,” John Wiley & Sons, 2013.
[22] S. Shokri, M. Safa, C. T. Haas, R. CG Haas, K. Maloney, S.
MacGillivray, “Interface management model for mega capital projects,”
In Proc. of the 2012 Construction Research Congress, 2012, pp. 447-
456.
[23] D. White, and J. Fortune, “Current practice in project management—An
empirical study,” International journal of project management, 20(1),
2002, pp. 1-11.
[24] S. Ward, and C. Chapman, “Transforming project risk management into
project uncertainty management. International Journal of Project
Management, 21(2), 2003, pp. 97-105.
[25] T. M. Williams, “The need for new paradigms for complex projects,”
International journal of project management, 17(5), 1999, pp. 269-273.
[26] L. A. Vidal, F. Marle, and J. C. Bocquet, “Measuring project complexity
using the Analytic Hierarchy Process,” International Journal of Project
Management, 29(6), 2011, pp. 718-727.
[27] A. J. Shenhar, “One size does not fit all projects: exploring classical
contingency domains,” Management Science, 47(3), 2001, pp. 394-414.
[28] M. T. Pich, C. H. Loch, and A. D. Meyer, “On uncertainty, ambiguity,
and complexity in project management,” Management science, 48(8),
2002, pp. 1008-1023.
[29] PMI, “Guide to the Project Management Body of Knowledge,” 4th ed.,
Project Management Institute, Newtown Square, 2000.
[30] H. Maylor, T. Brady, T. Cooke-Davies, and D. Hodgson, “From
projectification to programmification,” International Journal of Project
Management, 24(8), 2006, pp. 663-674.
[31] M. Engwall, “No project is an island: linking projects to history and
context,” Research policy, 32(5), 2003, pp. 789-808.
[32] R. Müller, and J. R. Turner, “Matching the project manager’s leadership
style to project type,” International Journal of Project Management,
25(1), 2007, pp. 21-32.
[33] T. Williams, “Modelling Complex Projects,” Wiley, 2002.
[34] F.E. Kast, and J. E. Rosenweig, “Organisation and Management: A
Systems and Contingency Approach,” McGraw-Hill, New York, 1979.
[35] A. Camci, and T. Kotnour, “Technology complexity in projects: does
classical project management work?” In Technology Management for
the Global Future, IEEE, 2006. Vol. 5, pp. 2181-2186.
[36] J. Bennett, “International Construction Project Management: General
Theory and Practice,” Butterworth-Heinemann, Oxford, 1991.
[37] A. Haidar, and R. D. Ellis Jr, “Analysis and Improvement of
Megaprojects Performance. In South Lake Tahoe,” CA: Engineering
Project Organizations Conference, 2010.
[38] A. J. Shenhar, and D. Dvir, “Toward a typological theory of project
management,” Research policy, 25(4), 1996, pp. 607-632.
[39] R. R. Tan, and Y.G. Lu, “On the quality of construction Engineering
design projects: Criteria and impacting factors,” International Journal of
Quality & Reliability Management, 12(5), 1995, pp. 18-37.
[40] M. Safa, A. Shahi, C. T. Haas, and K. Hipel, “Supplier selection process
in an integrated construction materials management model,” Automation
in Construction, 48, 2014, pp. 64-73.
[41] P. Brucker, A. Drexl, R. Möhring, K. Neumann, and E. Pesch,
“Resource-constrained project scheduling: Notation, classification,
models, and methods,” European journal of operational research, 112(1),
1999, pp. 3-41.
[42] D. Lovallo, and D. Kahneman, “Delusions of success,” Harvard
business review,” 81(7), 2003, pp. 56-63.
[43] B. Flyvbjerg, “From Nobel prize to project management: getting risks
right,” Project Management Journal. 37(3), 2006, pp. 5-15.
[44] D. Arditi, and H. M. Gunaydin, “Total quality management in the
construction process,” International Journal of Project Management,
15(4), 2006, pp. 235-243.
[45] M. Safa, S. MacGillivray, M. Davidson, K. Kaczmarczy, C. Haas, E.
Gibson, “Identifying influential factors for capital construction project
planning strategies,” Canadian Society for Civil Engineering
Construction Specialty Conference, University of British Columbia,
Vancouver, # 56, 2015.
[46] Construction Industry Institute (CII), “Project Definition Rating Index -
Industrial Projects,” University of Austin, Texas, 2009.
[47] M. Safa, A. Shahi, C. Haas, D. Fiander-McCann, M. Safa, K. Hipel, S.
MacGillivray “Competitive intelligence (CI) for evaluation of
construction contractors,” Automation in Construction, Available online
15 March 2015, ISSN 0926-5805.
[48] E. Birmingham, “Development of the Project Definition Rating Index
(PDRI) For Infrastructure Projects, Arizona State University, 2010.
[49] A. Murashkin, M. Antkiewicz, D. Rayside, and K. Czarnecki,
“Visualization and Exploration of Optimal Variants in Product Line
Engineering,” Software Product Line Conference, Tokyo, Japan, 2013.