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Important Concept Summaries Decision Dilemmas white 
paper 
Decisions with Risk
	 What Every Executive Should Know 
	about Decision Analysis
	working title of a planned, short book by John Schuyler 
       (you may have been transferred to this page from 
	   www.decisionswithrisk.com) 
	Decision-makers are increasingly presented with 
	probabilistic analyses supporting a recommended investment. The purpose of 
	this book is to help executives understand the principles 
	and methods of decision analysis. The decision-maker owns the decision and 
	should be engaged in the analysis process. 
	People in our decision analysis courses often say, "My boss should be 
	hearing this."¾particularly 
	when we're discussing decision policy. We will be providing copies of this 
	book (or equivalent online access) for course participants to take back to their bosses. 
	To get started, ten "Important Concept Summaries" (ICs) 
	have been pulled from course materials. Each is about three pages. They are 
	listed with links at the page bottom. 
	Tentative Chapters 
	
		- What is decision analysis?  whitepaper: "Resolving 
		Decision Dilemmas"
 
		- The decision analysis process and the role of the 
		decision-maker
 
		- Framing and structuring the problem
 
		- Decision policy elements, including risk policy
 
		- Interpreting charts and numeric results of a decision 
		analysis
 (Probabilities and probability distributions) 
		- Additional probability concepts
 
		- Decision tree analysis
 
		- Monte Carlo simulation
 
		- Delegating responsibility: the executive's role in 
		ensuring decision quality
 ("Drilling down into the analysis"-some 
		probing questions to ask)
                    
		Appendices 
		- Decision analysis provides more accurate estimates and forecasts
 
		- Business modeling of projects, portfolios and the 
		enterprise
 
		- Health, Safety and the Environment (HSE)
 (corporate social responsibility) 
		- Determining risk tolerance
 
		- Sensitivity analysis
 
		- Optimizing decision variables
 
		- Judgments and biases
 
		- Improving decisions: Value of information, 
		flexibility and control
 
		- Portfolio concepts and enterprise risk management
 
		- Project modeling and project risk management
 
	 
			  
	
	Important Concept Summaries 
		
		  
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