Managing construction projects using the advanced programmatic risk analysis and management model

Risk management is an important part of construction management, yet the risk-based decision support tools available to construction managers fail to adequately address risks relating to cost, schedule, and quality together in a coherent framework. This paper demonstrates the usefulness of the Advanced Programmatic Risk Analysis and Management Model (APRAM) originally developed for the aerospace industry, for managing schedule, cost, and quality risks in the construction industry. The usefulness of APRAM for construction projects is demonstrated by implementing APRAM for an example based on an actual building construction project and comparing the results with other risk analysis techniques. The results show that APRAM simultaneously addresses cost, schedule, and quality risk together in a coherent, probabilistic framework that provides the information needed to support decision making in allocating scarce project resources.

[1]  Max Henrion,et al.  Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis , 1990 .

[2]  B. Mulholland,et al.  Risk Assessment in Construction Schedules , 1999 .

[3]  Carl-Axel S. Staël von Holstein,et al.  Exceptional Paper---Probability Encoding in Decision Analysis , 1975 .

[4]  Ahmet Öztaş,et al.  Judgmental risk analysis process development in construction projects , 2005 .

[5]  David B. Ashley,et al.  Data-Driven Analysis of “Corporate Risk” Using Historical Cost-Control Data , 1998 .

[6]  G. Willmer Time and cost risk analysis , 1991 .

[7]  M. Elisabeth Paté-Cornell,et al.  Fault Trees vs. Event Trees in Reliability Analysis , 1984 .

[8]  R. Keeney Ethics, Decision Analysis, and Public Risk , 1984 .

[9]  Nashwan Dawood Estimating project and activity duration: a risk management approach using network analysis , 1998 .

[10]  A. Akintoye,et al.  Risk analysis and management in construction , 1997 .

[11]  Richard L. Tucker,et al.  Is construction project planning really doing its job? A critical examination of focus, role and process , 1987 .

[12]  Max Henrion,et al.  Uncertainty: Human Judgment about and with Uncertainty , 1990 .

[13]  Albert P.C. Chan,et al.  Key performance indicators for measuring construction success , 2004 .

[14]  Seth D. Guikema,et al.  Programmatic Risk Analysis for Critical Engineering Systems Under Tight Resource Constraints , 2003, Oper. Res..

[15]  Lei Zhang,et al.  Utility-Function Model for Engineering Performance Assessment , 2005 .

[16]  Seth D. Guikema,et al.  Component choice for managing risk in engineered systems with generalized risk/cost functions , 2002, Reliab. Eng. Syst. Saf..

[17]  Robin L. Dillon,et al.  APRAM: an advanced programmatic risk analysis method , 2001 .

[18]  Brenda McCabe,et al.  Evaluating Risk in Construction–Schedule Model (ERIC–S): Construction Schedule Risk Model , 2003 .

[19]  M. A. Mustafa,et al.  Project risk assessment using the analytic hierarchy process , 1991 .

[20]  David Picken,et al.  Using Risk Analysis to Determine Construction Project Contingencies , 2000 .

[21]  Daoud Ait Kadi,et al.  A STATE-OF-THE-ART REVIEW OF FMEA/FMECA , 1994 .

[22]  D. Malcolm,et al.  Application of a Technique for Research and Development Program Evaluation , 1959 .