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Probabilistic Risk Management in Design and Construction Projects, Version 1.1

Publication No
RS280-1
Type
Research & Development Product
Publication Date
Oct 01, 2012
Pages
33
Research Team
RT-280
DOCUMENT DETAILS
Abstract
Key Findings
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Abstract

CII created Research Team (RT) 280 to answer the following essential research question:

What would be the benefits and implications of applying a probabilistic approach to analyzing cost estimating and scheduling risks for the design and construction of capital projects?

The team’s objectives included a review of the industry’s current probabilistic controls practices and their associated risk allocation techniques. To make this review, the team surveyed 104 contractor and owner organizations worldwide, from which 12 were selected for in-depth case studies. For these case studies, team members conducted hundreds of hours of face-to-face interviews and collected risk-related documentation from risk managers and project teams. After analyzing the case studies, the interviews team conducted an industry-wide validation survey of 73 organizations. The team explored when, why, and how probabilistic approaches were used, and documented the kinds of successes organizations were achieving through probabilistic risk management.

The team’s final products include the following:

  • identification of the benefits and limitations of probabilistic analysis
  • a process roadmap for implementing probabilistic controls at three levels of risk analysis: identification, deterministic, and probabilistic
  • Implementation Resource 280-2, Applying Probabilistic Risk Management in Design and Construction Projects, a guide to implementing probabilistic controls, with risk register templates and an example that demonstrates all three levels of risk analysis.
  • Implementation Resource 280-3, What’s the Risk?, a laminated guide to selecting the appropriate level of risk analysis and interpreting probabilistic results.

 

To further help organizations realize the benefits of probabilistic risk management, the team developed IR 280-3, What’s the Risk?, a laminated process roadmap for implementing probabilistic controls. This resource offers guidance for selecting the appropriate level of risk analysis for a project and helps users interpret probabilistic results.

Key Findings
Organizations can use three processes to implement more advanced project risk management approaches, including probabilistic analysis. These procesess comprise three levels, each of which offers clear benefits: risk identification, deterministic analysis, and probabilistic analysis.

Probabilistic methods manage project risk and uncertainty in cost, scope, and schedule by taking into account known and unknown events or conditions that cannot be adequately identified or defined, either independently or comprehensively.

The team deterimined that four project attributes or “triggers” lend themselves to a probabilistic approach to risk management:

  • Project Cost – Projects tended to utilize a Level 3 approach when costs exceeded $10 million to $15 million.
  • Delivery Method – Projects that fell outside a company’s “typical” delivery method
  • Novelty – New project, new technology, or a new market
  • Location – Considerations of geographical landscape, governmental regulations, and government instability
Over 70% of all respondants noted “Significant” or greater impact across six measureable benefits (RS280-1, p. 22).
“Organizations and project teams benefit from the implementation of probabilistic approaches at all phases in a project’s life cycle, starting at the beginning of the front end planning (FEP) phase and continuing through detailed design, construction, and operations. Both owners and contractors indicated that the use of probabilistic simulation outputs 1) helps them decide which projects to pursue, 2) strengthens their ability to establish contingency levels and realistic schedule durations, and 3) improves their skills at identifying and prioritizing risks.” (RS280-1, p.30)
 
Filters & Tags
Best Practice
Research Topic
Probabilistic Risk Management in Design and Construction Projects
Keywords
Risk Management, Risk Register, Capital Projects, Risk Allocation, Risk Identification, Probabalistic Contols, Deterministic Risk Analysis, Probabalistic Approach, Probability, rt280