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What’s New » New York City Uses @RISK to Prepare for Pandemics » 2010 Risk Conference » @RISK Reviewed in Six Sigma IQ: “Extremely Fast” » Palisade Quoted in Chartered Institute for IT: “The Opportunity for Risk Improvement is Now“ » Webcast: Using Simulation Techniques in Litigation » Webcast: Managing and Measuring Diversification Effect » Blog: The Great Moderation and Tail Risk » Blog: Taking the guesswork out of water pipe replacement, using risk modeling software Case Study @RISK Modeling Tips Palisade Analytics blog RSS feed newsletter
» North America » Asia-Pacific » Latin America » Brasil » Decision-Making and Quantitative Risk Analysis using the DecisionTools Suite PART II » Decision-Making and Uncertainty for Project Managers
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Interdisciplinary Solutions executed the quantitative side of this year-long public health project using @RISK and its Panálysis model which projects healthcare demands during a pandemic to include critical product requirements and staffing needs. This epidemiologic model integrates Palisade’s risk and decision analysis software @RISK and RISKOptimizer in order to account for uncertainty. @RISK was used to assess nursing capacity, and RISKOptimizer analyzed possible resource shortages. This case was originally presented at the 2009 Palisade Risk Conference.
This is one of a global series of Palisade Risk Conferences taking place in London, Sydney, Lima, and Las Vegas in 2010. » Register today
@RISK Reviewed in Six Sigma IQ: “@RISK is a risk analysis tool that is particularly easy to use. …[It has] extremely fast calculation times, parallel use of multiple processors, dynamic output charts, regression scatter plots, shared function libraries, extended product range and so on.” “@RISK and Six Sigma are excellent bedfellows, providing the means to dynamically analyze both starting data and the ongoing improvements being made to the process so as to provide even more insight to the true causes of variability.”
Palisade Quoted in Chartered Institute for IT: Any new approaches – involving models, tools, staff, and ways of thinking – must not be limited to the financial sector. Regardless of business sector, the disciplines of QRM (quantitative risk management) and DMUU (decision making under uncertainty) must be approached with new attitudes and new commitment.
Managing and Measuring Diversification Effect Palisade Blog Headlines Taking the guesswork out of water pipe replacement,
Construction time is of crucial importance when it comes to utilizing the production factors in an effective and efficient way. Construction periods that are too short usually result in higher cost, poorer quality and a larger number of disputes. This presentation sets out to demonstrate the calculation of construction time and cost whilst considering key construction management parameters. Beyond a simple, deterministic method, other options for calculation are shown that rely on probability using Monte Carlo simulation in @RISK for Excel. The approaches described to determine construction time and cost are illustrated by a high-rise building project example.
Did you know the @RISK Library allows you to store specific, customized probability distribution functions for use by other @RISK users? You can also store simulation results for later auditing, and for use as inputs in subsequent simulations. You can use the Library just for yourself, or on a server for a group of @RISK users. The @RISK Library helps ensure consistency of inputs and common modeling practices. » Quick video tour of the @RISK Library
Engineers from Yale University have developed a supercomputer that uses neural network technology to mimic the mammalian visual system. Consumer Purchasing In the U.K., car shoppers can use a new decision tree application to sort out the increasing number of energy efficiency choices and settle on the model that will work best for them. Health Care Scientists from Johannes Guternberg University Mainz used Monte Carlo simulation to test the potential of a number of ways to improve the performance of thin-film solar cells. |
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