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Decision-Making and Quantitative Risk Analysis using @RISK
Decision-Making and Quantitative Risk Analysis using the DecisionTools Suite
Project Risk Assessment Using @RISK for Project
UPS Uses @RISK for Sustainability Study
Calculations of GHG emissions are affected by a range of variable factors like secondary data, calculation methodologies, and formulas meant to describe the relationships between various parameters and emission processes.
According UPS’s 2010 Sustainability report:
“Using the GHG Protocol ‘Measurement and Estimation Uncertainty of GHG Emissions’ guidance and analyzing the collected data through Monte Carlo simulations by using the @Risk statistical analysis software at 95% confidence interval, we are able to estimate the uncertainty for our 2010 GHG inventory.”
More details about UPS’s uncertainty analysis and GHG reporting can be found in Appendix B of the 2010 Sustainability report.
The conference featured a plenary address by author Christina Ray on the topic of Decision Making and Enterprise Risk Management. In addition, new this year, delegates took advantage of one-on-one personalized consulting sessions. Finally, the conference concluded with its first panel discussion of experts on the best practices in risk analysis.
Great conference. As a new user of @RISK,
Mega projects by their very nature consist of smaller individual projects that integrate together to form a whole. In a similar fashion, the estimates for such mega projects also come from a multitude of diverse disciplines with differing sources and work practices.
This case study shows how a risk model for the cost estimate was built in @RISK to identify appropriate levels of contingency and management reserve. Uncertain inputs to the model were taken from a variety of sources including
A common problem in supply chain management is the phenomenon of the bullwhip effect. This shows what arises from the traditional disjointed relationship between a manufacturer and its suppliers, and between these suppliers and their underlying component suppliers. It leads to excessive inventory levels. Closer collaboration and coordination between buyers (factories) and sellers (suppliers) can achieve considerable savings.
RISKOptimizer, available with @RISK and DecisionTools Suite Industrial editions, can be used to optimize ordering quantities in order to minimize inventory and reduce costs, given all the uncertainties involved in the various points along the supply chain.
Presented by Dave Bristol,
Presented by Andrew Sich,
Presented by Steve Hunt,
Presented by Jaime Weisberg,
Introduction a l’analyse des Risques et décisions
Use of @RISK for Quantifying Uncertainty in
Refining the Business Case for
Sustainable Energy Projects Using
Analyzing working capital and capital budgeting
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