• On the Association for the Advancement of Cost Engineering International (AACEI) Members and Friends Network forum, a discussion titled “Why Contingency Reserves Need to be Owned by Senior Management” attracted vigorous opposing views (If you have access, the link is
• On the Schedule and Cost Risk Analysis forum, a link to a post by Santosh Bhat “Can a Risk Adjusted Schedule use P80 dates?” stimulated some divergent opinions about where schedule contingency belongs (If you are able to access it, see
• Meet client objectives;
• Be part of an effective risk management process;
• Start by identifying the risk drivers with input from appropriate sources;
• Clearly link the risk drivers to the cost-schedule outcomes;
• Employ empiricism, experience and competency; and
• Provide probabilistic estimating results that supports effective decision making and risk management.
• Expert judgment - highly dependent on the quality of the expertise, which must be strongly based in experience and normalised against bias by a diversity of opinions.
• Predetermined guidelines – with varying degrees of judgment and empiricism, ranging from set percentages of base cost or schedule duration depending on project estimate class or project type to complex tables using elements of parametric modelling (see below). Benefits include simplicity and consistency. Disadvantages include inability to incorporate unique riskiness characteristics of the project. Works best early in project development process (eg, concept phase) when systemic risks dominate.
See AACEI Recommended Practices 17R-97 “COST ESTIMATE CLASSIFICATION SYSTEM” and 18R-97 “COST ESTIMATE CLASSIFICATION SYSTEM – AS APPLIED IN ENGINEERING, PROCUREMENT, AND CONSTRUCTION FOR THE PROCESS INDUSTRIES”
• Simulation Analysis - primarily expert judgment incorporated in an analytical model then used in a Monte Carlo simulation process. There are two sub-classes:
Ο Range Estimating (This entails building an analytical model used in a Monte Carlo simulation process to generate probabilistic output. It is the starting point of the class method we use and recommend, based on our more sophisticated Integrated Cost & Schedule Risk Analysis [IRA] methodology and incorporating elements of the Expected Value methodology)
Ο Expected Value (This method focuses on the risk events in the project risk register with significant time and cost impacts. The probability of each risk times the impact is the “expected value”. The probability and impacts are replaced by distributions assigned by the team based on their understanding of the risks and correlations are assigned between risks and costs or schedule activities. Monte Carlo simulations are then run to produce cost or schedule probability distributions.
41R-08 “RISK ANALYSIS AND CONTINGENCY DETERMINATION USING RANGE ESTIMATING”
44R-08 “RISK ANALYSIS AND CONTINGENCY DETERMINATION USING EXPECTED VALUE”
57R-09 “INTEGRATED COST AND SCHEDULE RISK ANALYSIS USING MONTE CARLO SIMULATION OF A CPM MODEL”
65R-11 “INTEGRATED COST AND SCHEDULE RISK ANALYSIS AND CONTINGENCY DETERMINATION USING EXPECTED VALUE”
• Parametric Modelling - empirically based algorithm, usually derived through regression analysis, with varying degrees of judgment used. Based on historical cost data for previous completed projects, relating selected risk drivers to cost growth or schedule slippage. For example percent scope definition versus actual cost growth. Best for early stages of project definition, such as Concept or Pre-feasibility, when Systemic risk factors dominate over project-specific ones. Results must be interpreted with expert judgment.
42R-08 “RISK ANALYSIS AND CONTINGENCY DETERMINATION USING PARAMETRIC ESTIMATING”
43R-08 “RISK ANALYSIS AND CONTINGENCY DETERMINATION USING PARAMETRIC ESTIMATING – EXAMPLE MODELS AS APPLIED FOR THE PROCESS INDUSTRIES”
• The Contract cannot assign complete responsibility for schedule slippage to the Contractor – there are likely to be risks that, if they occur, can form the basis for EoTs or Variations due to acts or omissions by the Owner;
• If sufficient delays occur to exceed the insurable limits of the Contractor, the Contractor is likely to claim that the contract has materially changed and requires re-negotiation.
• An IRA for a substantial manufacturing facility being built on the northern outskirts of Melbourne, which we performed in January;
• An IRA for Santos GLNG project on a significant expansion of their upstream Coal Seam Gas fields in the Roma area, performed in February/March;
• A Schedule Risk Analysis for gas field facilities and pipeline in South West Victoria, performed in March;
• An IRA for the drilling of two exploration wells in PNG for Talisman Energy, performed in April/May.
• Provision of planning services for a substantial goods manufacturing facility being built on the northern edge of Melbourne.
• Ongoing provision of planning services for multiple Australian food manufacturing facility projects.
• Planning and Forensic Scheduling Advisory Services for a Commercial Construction company.
• We have recently been appointed to provide Expert opinions in a dispute relating to installation of pipeline gathering systems.