Research Article Open Access

RISK ANALYSIS IN CONSTRUCTION PROJECTS: A PRACTICAL SELECTION METHODOLOGY

Alberto De Marco1 and Muhammad Jamaluddin Thaheem2
  • 1 Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy
  • 2 Department of Urban Studies and Planning, Politecnico di Torino, Turin, Italy

Abstract

Project Risk Management (PRM) is gaining attention from researchers and practitioners in the form of sophisticated tools and techniques to help construction managers perform risk management. However, the large variety of techniques has made selecting an appropriate solution a complex and risky task in itself. Accordingly, this study proposes a practical framework methodology to assist construction project managers and practitioners in choosing a suitable risk analysis technique based on select project drivers. Additionally, the methodology transforms the traditional triple constraints by broadening the focus from the project to a combination of the project and PM organization. Scale harmonization is achieved by dividing the selected project drivers and risk analysis categories into four levels. The applicability and efficiency of the methodology is demonstrated in two actual construction projects by creating a radar chart and performing their ex-post risk analysis with the help of the developed technique. The study contributes to the existing body of knowledge on PRM as a practical tool that helps project managers select suitable risk analysis techniques under given project characteristics.

American Journal of Applied Sciences
Volume 11 No. 1, 2014, 74-84

DOI: https://doi.org/10.3844/ajassp.2014.74.84

Submitted On: 27 June 2013 Published On: 28 November 2013

How to Cite: Marco, A. D. & Thaheem, M. J. (2014). RISK ANALYSIS IN CONSTRUCTION PROJECTS: A PRACTICAL SELECTION METHODOLOGY. American Journal of Applied Sciences, 11(1), 74-84. https://doi.org/10.3844/ajassp.2014.74.84

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Keywords

  • Project Risk Management
  • Construction Management
  • Decision Making
  • Project Classification
  • Risk Analysis
  • Triple Constraints
  • Radar Diagram