TECHNICAL PAPERS
Sep 1, 2008

Strategic-Operational Construction Management: Hybrid System Dynamics and Discrete Event Approach

Publication: Journal of Construction Engineering and Management
Volume 134, Issue 9

Abstract

A significant number of large-scale civil infrastructure projects experience cost overruns and schedule delays. To minimize these disastrous consequences, management actions need to be carefully examined at both the strategic and operational levels, as their effectiveness is mainly dependent on how well strategic perspectives and operational details of a project are balanced. However, current construction project management approaches have treated the strategic and operational issues separately, and consequently introduced a potential conflict between strategic and operational analyses. To address this issue, a hybrid simulation model is presented in this paper. This hybrid model combines system dynamics and discrete event simulation which have mainly been utilized to analyze the strategic and operational issues in isolation, respectively. As an application example, a nontypical repetitive earthmoving process is selected and simulated. The simulation results demonstrate that a systematic integration of strategic perspective and operational details is helpful to enhance the process performance by enabling construction managers to identify potential process improvement areas that traditional approaches may miss. Based on the simulation results, it is concluded that the proposed hybrid simulation model has great potential to support both the strategic and operational aspects of construction project management and to ultimately help increase project performance.

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Acknowledgments

The writers would like to acknowledge the financial support for this research received from the National Science Foundation CAREER and PECASE Award No. NSFCMS-9875557, the National Science Foundation Award No. NSFCMS-0324501, and the Korean Ministry of Construction and Transportation, Research Project No. 05 CIT D05-01. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the writers and do not necessarily reflect the views of the National Science Foundation and the Korean Ministry of Construction and Transportation.

References

AbouRizk, S., and Mather, K. (2000). “Simplifying simulation modeling through integration with 3D CAD.” J. Constr. Eng. Manage., 126(6), 475–483.
Callahan, K., and Brooks, L. (2004). Essentials of strategic project management, Wiley, Hoboken, N.J., 15.
El-Rayes, K., and Moselhi, O. (1998). “Resource-driven scheduling of repetitive activities.” Constr. Manage. Econom., 16(4), 433–446.
Farid, F., and Koning, T. (1994). “Simulation verifies queuing program for selecting loader-truck fleets.” J. Constr. Eng. Manage., 120(2), 386–404.
Flyvbjerg, B., Holm, M., and Buhl, S. (2003). “How common and how large are cost overruns in transport infrastructure projects?” Transport Reviews, 23(1), 71–88.
General Accounting Office (GAO). (2002). “Transportation infrastructure: Cost and oversight issues on major highway and bridge projects.” GAO-02-702T, Washington, D.C.
General Accounting Office (GAO). (2005). “Courthouse construction: Information on project cost and size changes would help to enhance oversight.” GAO-05-673, Washington, D.C.
Kelleher, A. (2004). “An investigation of the expanding role of the critical path method by ENR’s top 400 contractors.” Master’s thesis, Faculty of Virginia Polytechnic Institute and State Univ., Blacksburg, Va.
Imaginethat Inc. (2002). “Extend 5.0 software.” ⟨http://www.imaginethatinc.com⟩ (Feb. 14, 2006).
Lee, S., Peña-Mora, F., and Park, M. (2006). “Dynamic planning and control methodology for strategic and operational construction project management.” Autom. Constr., 15(1), 84–97.
Lyneis, J. M., Cooper, K. G., and Els, S. A. (2001). “Strategic management of complex projects: A case study using system dynamics.” Syst. Dyn. Rev., 17(3), 237–260.
Martin, R., and Raffo, D. (2001). “Application of a hybrid process simulation model to a software development project.” J. Syst. Softw., 59(3), 237–246.
Martinez, J. C., and Ioannou, P. G. (1997). “State-based probabilistic scheduling using STROBOSCOPE’s CPM add-on.” Proc., Construction Congress V, ASCE, Reston, Va., 438–445.
Martinez, J. C., Ioannou, P. G., and Carr, R. I. (1994). “State and resource based construction process simulation.” Proc., Comp. in Civil Eng., ASCE, New York, 177–184.
Moder, J. J., Phillips, C. R., and Davis, E. W. (1983). Project management with CPM, PERT and precedence diagramming, Van Nostrand Reinhold, New York, 269–272.
Morris, P. W., and Hough, G. H. (1987). The anatomy of major projects: A study of the reality of project management, Wiley, New York, 15.
Moselhi, O., and El-Rayes, K. (1993). “Scheduling of repetitive projects with cost optimization.” J. Constr. Eng. Manage., 119(4), 681–697.
Myers, R. H., and Montgomery, D. C. (2002). Response surface methodology: Process and product optimization using designed experiments, Wiley, New York, 1–13.
Ondash, C. S., Maloney, S., and Huerta, J. M. (1988). “Large project simulation: A powerful tool for project management analysis.” Proc., 1998 Winter Simulation Conf., IEEE, New York, 231–239.
Park, M., and Peña-Mora, F. (2003). “Dynamic change management for construction: Introducing the change cycle into model-based project management.” Syst. Dyn. Rev., 19(3), 213–242.
Rodrigues, A., and Bowers, J. (1996). “System dynamics in project management: A comparative analysis with traditional methods.” Syst. Dyn. Rev., 12(2), 121–139.
Schultz, R. L., Slevin, D. P., and Pinto, J. K. (1987). “Strategy and tactics in a process model of project implementation.” Interfaces, 17(3), 34–46.
Senior, B., and Halpin, D. (1998). “Simplified simulation system for construction projects.” J. Constr. Eng. Manage., 124(1), 72–81.
Smith, S., Wood, G., and Gould, M. (2000). “A new earthworks estimating methodology.” Constr. Manage. Econom., 18(2), 219–228.
Smith, S. D., Osbourne, J. R., and Forde, M. C. (1995). “Analysis of earthmoving systems using discrete-event simulation.” J. Constr. Eng. Manage., 121(4), 388–396.
Sterman, J. (2000). Business dynamics: System thinking and modeling for a complex world, McGraw-Hill, New York, 191–192.
Tavakoli, A., and Riachi, R. (1990). “CPM use in ENR top 400 contractors.” J. Manage. Eng., 6(3), 282–295.
Voster, M. C., and Bafna, T. (1992). “Discussion of ‘Formal development of line-of-balance technique’ by Z. M. Al Sarraj.” J. Constr. Eng. Manage., 118(1), 210–211.
Williams, T. (2002). Modelling complex projects, Wiley, New York, 167–210.
Williams, T. (2004). “Why Monte Carlo simulations of project networks can mislead.” Proj. Manage. J., 35(3), 53–61.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 134Issue 9September 2008
Pages: 701 - 710

History

Received: Jun 8, 2006
Accepted: Nov 30, 2007
Published online: Sep 1, 2008
Published in print: Sep 2008

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Authors

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Feniosky Peña-Mora
Professor, Construction Management and Information Technology, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana-Champaign, IL 61801. E-mail: [email protected]
Sangwon Han
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana-Champaign, IL 61801. E-mail: [email protected]; à[email protected]
SangHyun Lee
Assistant Professor, Hole School of Construction Engineering, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton AB, Canada T6G 2G7. E-mail: [email protected]
Moonseo Park
Associate Professor, Dept. of Architecture, Seoul National Univ., Seoul 151-742, Korea. E-mail: [email protected]

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