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Case Studies
@RISK Cases
Abu Dhabi Water &
Electricity Company

Industry: Energy and Utilities
Application: Demand Forecasting
Įguas do Douro e Paiva
Industry: Energy
Application: Cost Reduction
ARC of Yates
Industry: Non-Profit
Application: Budget Forecasting
BC Hydro
Industry: Energy
Application: Project Analysis
Bigen Africa
Industry: Energy & Utilities
Application: Demand and Cost Forecasting
Blade Energy
Industry: Energy
Application: Drilling Productivity
Brazilian Petroleum Institute
Industry: Academic
Application: Oil Exploration
Cambridge University
Industry: Academic
Application: Climate Change
Centre for Traffic
& Transport, Denmark

Industry: Transportation
Application: Transportation Planning
Cinergy
Industry: Energy
Application: Acquisitions Analysis
Columbia University
Industry: Academic
Application: Energy and Public Policy
Cornell University
Industry: Academic
Application: Financial Management
CP Risk Solutions/
Illinois State University

Industry: Insurance
Application: Reinsurance Strategy
CP Risk Solutions/Illinois State University
Industry: Manufacturing
Application: Factory Shutdown
Cranfield University
Industry: Energy
Application: Equipment Reliability
Cornell University/
Lower Colorado River Authority

Industry: Environment
Application: Natural Resource Mgmt
Cornell University
Industry: Agriculture
Application: Agriculture Policy Assessment
Cummins Inc.
Industry: Six Sigma
Application: Six Sigma Quality Analysis
Curtin University of Technology
Industry: Academic
Application: Statistical analysis
Det Norske Veritas (DNV)
Industry: Energy
Application: ROI of Different Projects
ECN
Industry: Energy research organisation
Application: Financial analysis of offshore wind farms
ENGCOMP
Industry: Government/Defense
Application: Budgeting
Federal Highway Adminstration
Industry: Transportation
Application: Pavement Cost Analysis
FiduciaryVest
Industry: Finance
Application: Asset Allocation, Value-at-Risk
Fluor Corporation
Industry: Energy
Application: Oil and Gas Estimating
Futuremetrics
Industry: Energy
Application: Price Hedging
Greenup Locks and Dam
Industry: Energy
Application: Dam maintenance and repair
Grupo ISA
Industry: Energy
Application: Investment Analysis
Halcrow Group Ltd /
UK Environment Agency

Industry: Environment
Application: Flood Management
Her Majesty's Prison Service
Industry: Government
Application: Cash Flow Analysis
Hospital Clinic Barcelona
Industry: Medical
Application: Blood Screening
Hydroelectric Power in Colombia
Industry: Energy
Application: Cost estimation
Illinois State University
Industry: Academic
Application: Real Options and Finance
INCAE Business School
Industry: Academic
Application: Finance and Capital Markets
Katrina Disaster Response Center
Industry: Government
Application: Disaster Response Planning
Kennecott Utah Copper
Industry: Environment
Application: Pollution Cleanup
The LEGO Group
Industry: Manufacturing
Application: Enterprise Risk Management
Merck
Industry: Finance/Banking
Application: Value-at-Risk Exchange Rate
Missouri University of Science and Technology
Industry: Academic
Application: Mining Engineering
New York City Department
of Health and Mental Hygiene

Industry: Medical
Application: Future Pandemic Planning
Northern Indiana
Public Service Company

Industry: Energy
Application: Pricing, Production Allocation for Regulation Compliance
Pantektor AB
Industry: Construction
Application: Fire Risk Mitigation
Pareto Solutions
Industry: Government
Application: Budget Projection
Petrobras
Industry: Energy
Application: Exploration & Production
Post Danmark / PricewaterhouseCoopers
Industry: Government
Application: Insurance Premium Reduction
RisqWorx
Industry: Property
Application: Calculating investment risk and ROI
Royal Veterinary College
Industry: Medical
Application: Disease Prevention
Scottsdale Insurance Company
Industry: Insurance
Application: Comparing commercial properties; RAROC
Slovak Rail Company
Industry: Transportation
Application: Capital Investment
Society of Actuaries/
Casualty Actuary Society

Industry: Insurance/Reinsurance
Application: Pension and Insurance Planning
Technical University of Denmark
Industry: Academic
Application: Transportation research
Thales Group
Industry: Manufacturing
Application: Market Feasibility
Tioga Energy
Industry: Energy
Application: Solar energy savings
Transelectrica
Industry: Power
Application: Measuring and Mitigating Open Market Risk
UK Ministry of Defence
Industry: Defence
Application: Project Management
University of Buenos Aires
Industry: Agriculture
Application: Agricultural Investment
University of Pennsylvania
Industry: Academic
Application: Organizational Dynamics
Value Management Strategies, Inc.
Industry: Government, Manufacturing
Application: Project management, cost estimation, event risk
World Aquatic Veterinary Medical Association (WAVMA)
Industry: Environment
Application: Aquaculture and biosecurity

SEE ALSO: INDUSTRY MODELS
» Example Models

In DecisionTools Suite:
Aspinall & Associates
Industry: Environment
Application: Disaster Planning
Enex
Industry: Energy
Application: Geothermal Power Plant Equipment Procurement
Logion BV
Industry: Transportation
Application: Transportation, Distribution, and Inventory Management
London Business School /
Novartis Pharmaceutical

Industry: Financing/Banking
Application: Portfolio Management
Triangle Economic Research
Industry: Environment
Application: Pollution Cleanup
Procter & Gamble
Industry: Finance
Application: Production Siting, New Product Analysis, Exchange Rate Analysis, Real Options
World Conservation Union
Industry: Environment
Application: Endangered Species Protection

In @RISK Developer Kit:
London Underground / Istria
Industry: Transportation
Application: Transportation Safety and Investments

In Evolver:
Mettler Consulting
Industry: Insurance/Reinsurance
Application: Enterprise Resource Planning




@RISK is a highly sophisticated analysis tool that enables us to perform complicated predictions to determine accurate cost-benefit of projects. Despite the complexity of these forecasts, @RISK is straightforward
to use.
Kim Bang Salling, Research Analyst
Centre for Traffic and Transport
Technical University of Denmark
Air, Land, and Sea:
@RISK Used for Transportation Planning in Denmark


The Centre for Traffic and Transport (CTT) is part of the Technical University of Denmark (DTU). It is responsible for undertaking research into optimizing traffic and transport systems and in this capacity it develops evaluation models for roads and road building. This requires an in-depth understanding of the effect that any projects (both directly and indirectly related) will have on traffic behavior, as well as the overall social, economic and environmental impact of such schemes.

The CTT has developed an appraisal model for the Danish Road Directorate (a sub-sector of the Danish Ministry of Transport), the focus of which is on building roads and evaluating large new infrastructure projects such as proposals for bridges. In addition, the CTT carries out investigative data gathering operations such as the Scandic Bridge project that undertook preliminary research into freight trade between the east and west Baltic Sea regions.

Increasingly recognized as an expert in its field, the CTT is also commissioned to carry out in-depth analysis overseas. In particular it has assisted with planning Greenland’s infrastructure, including the evaluation of the most appropriate location for the country’s new main airport at Nuuk.

A key objective for the CTT is to promote the potential of the DTU in order that it can develop further collaborations, both in Denmark and around the world.

The Role of Risk Management at the CTT
Traditionally, the standard way to measure risk in the transport industry in Denmark is to take the median of best case/worst case scenarios.  However, as part of the CTT, the Decision Modelling Group (DMG) aims to establish a groundwork for technical modeling that will enable better future decision support systems and improve planning and evaluation of large transport infrastructure projects.

Therefore, within the CTT and in a wider environment, the DMG encourages structured risk analysis to be built into transport schemes and proposals in order that a more accurate picture is obtained.

@RISK for Cost-Benefit Analysis
The CTT now uses @RISK on an increasing number of projects.  Excel-compatible, @RISK uses Monte Carlo analysis to show all potential scenarios, as well as the likelihood that each will occur, thereby providing the decision-maker with the most complete picture possible.

In particular, the CTT does extensive analysis to produce a cost-benefit ratio that will determine whether a project is optimal from a socio-economic viewpoint or not.  Very simply, this entails weighing up if the benefits of a venture justify its economic, social and environmental cost.

For example, when building a new road, the CTT needs to calculate how much time it will save people and whether it will reduce accidents.  But because new roads are often physically longer than the old versions they replace, it also needs to analyze the increase in pollution that will be generated by vehicles traveling a greater distance. The amount of land/housing affected is also considered and the impact of the net change in traffic noise is included in the assessment modeling.

Referring back to the evaluation work in Greenland, the CTT developed a decision support tool to assess and balance the available options. From an economic point of view, it was critical that the new airport at Nuuk accounted for increases in air travel and supported improvements for the maximum number of people using the facility (taking into account that Greenland is a large country with relatively few towns and a small population). 

@RISK for More Effective use of Government Budget
As well as weighing up the cost-benefit ratio of building a road in terms of time, safety and pollution, the CTT uses @RISK to make a detailed analysis of the actual construction cost of building a new road.  Although construction companies will provide the initial estimate, because this is usually based on best/worst case predictions, it is not necessarily accurate.  It also often increases over the course of the project. 

Expert risk analysis makes a more thorough prediction, and therefore provides the CTT with better information on which to base its decision/recommendation as to whether or not the road should be built.

@RISK for Better East-West Freight Transport
Following the Scandic Bridge project (outlined above) the CTT is now working on an EU financed venture to improve the ‘East-West transport corridor’ across the Baltic Sea.  This work will analyze the most effective and efficient method of distributing goods between Karlshamn Harbor in Sweden and the rest of the Baltic Sea region, including Denmark, Poland, Norway and north Germany. @RISK will provide the risk analysis element of a decision support model being built by the CTT that also incorporates cost-benefit studies.

@RISK for Bespoke Systems
Kim Bang Salling, research analyst at the CTT, comments: “@RISK is a highly sophisticated analysis tool that enables us to perform complicated predictions to determine accurate cost-benefit of projects.  Despite the complexity of these forecasts, @RISK is straightforward to use.  We can therefore design systems that are easy to transfer to our customers and partners.  In addition, we are also able to add on to the CTT’s own products and then adapt these as necessary.  As a result, each @RISK user can build a bespoke system that is specific to their exact requirements.”

» @RISK
» Centre for Traffic and Transport



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