Resources
Dr. Michael Sanderson of Kansas State University’s College of Veterinary Medicine developed a risk management tool for veterinarians and beef cow-calf producers to assist in identifying biologically and economically valuable biosecurity practices, using @RISK.
Researchers at the University of Victoria used @RISK to model the differences in Lifetime Excess Cancer Risk (LECR) for Canadians based on contaminants found in food and beverages. The results revealed notable differences in cancer risks for several different demographics.
The Fort McMurray Airport Authority (FMAA) turned to Revay and Associates Ltd. to assess the potential risks they face as an organization as they try to keep pace with the growth of the region, and Revay turned to @RISK to help with the analysis.
Patrick Engineering provides independent cost estimating, scheduling, and risk analysis services for the Massachusetts Bay Transportation Authority (MBTA) as the basis for budgeting and reserving funds for future requirements. Patrick uses @RISK for cost and schedule risk analysis.
Analyses of equipment failures in industrial settings have traditionally been done to support investigation into recognized problems. The Maintenance and Reliability Services Group at Zachry Industrial, Inc. uses Palisade Corporation’s @RISK software to support automated processes that proactively use client maintenance data to trigger statistical alarms for the first recognition of potential reliability problems.
After the EU introduced regulatory requirements for better visibility into capital market investments, CONTI began using @RISK to construct financial models that capture and assess potential risks in the fluctuating shipping market. This enabled the company to offer higher levels of transparency for investors, successfully steer its shipping fleet, and generate above-average results on investments.
To tackle new challenges for accurate decision-making around load forecasting, an electric power holding company based in the Eastern United States used the DecisionTools Suite to make better predictions.
Researchers at the World Aquatic Veterinary Medical Association (WAVMA) use @RISK to demonstrate the practice of biosecurity to aquatic farmers. The method helps to reduce the potential for disease in animals without incurring the significant costs of extensive testing.
“OilCo” an anonymous oil and gas company, was entering bankruptcy and needed assistance in valuing its assets and negotiating a potential buyout. The company turned to B. Riley Advisory Services, whose team of experts used @RISK to help negotiate the deal and help their client arrive at a fair price for their firm, avoiding Chapter 22 Bankruptcy.
Bucknell University used quantitative decision analysis software PrecisionTree to evaluate technological alternatives.
Jim Aksel, Principal at ProjectPMO in Anaheim, California, has consulted for several major aerospace companies in project and schedule management. In this case study, he discusses how he helped a major aerospace company deal with schedule risk analysis for the development of defensive missiles. Their end-buyer, the US Navy, required the company to use a more quantitative and rigorous method for evaluating the credibility of their Schedule Model and to use the model as a predictive tool in program management. Thanks to using @RISKin conjunction with Microsoft Project, Aksel was able to provide the company a rock-solid model proving that their schedule estimation was reliable.
Students at Virginia Commonwealth use @RISK to learn how to apply Value at Risk (VaR) analysis to understanding the measures of risks, and also to analyze which accounting data inputs (from both the balance sheet and income statements) can be most damaging to the net income and net worth of a selected company
