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Printable Handouts
Navigable Slide Index
- Introduction
- Why learn about decision analysis?
- What makes decisions hard?
- Intuitive vs. deliberative thinking
- Decision analysis
- Decision analysis framework
- Elements of decision situations
- Jack Rabbit Racing
- Elements- Jack Rabbit Racing
- Model-Analysis-Insight
- A decision tree organizes the elements logically
- MANPADS
- MANPADS - Decision tree
- MANPADS - Consequences
- Interface designed for sensitivity analysis
- Countermeasures reduce risk of catastrophe
- Key variables
- Decision analysis and subjective judgments
- Values and preferences
- Evaluate different kinds of consequences
- Pricing out
- Probability assessment
- Probability as a judgment
- Estimating various probabilities
- Nuclear waste storage
- Yucca mountain nuclear waste repository
- Yucca mountain risk assessments
- Yucca mountain climate change risk assessment
- Our protocol
- Our protocol
- Long-term trends
- Expert probabilities (1)
- Expert probabilities (2)
- Monte Carlo simulation
- What MCS can tell you
- Space shuttle risk management- heat tiles
- Influence diagram
- High-risk tiles
- 15 percent of the tiles account for most of the risk
- SS central America
- Plan for locating ship
- Value of decision models
- Decision analysis in organizations
- A new organizational approach
- Implementing the new process
- Results
- Role of analysis
- Summary
This material is restricted to subscribers.
Topics Covered
- Why decision analysis?
- Sources of difficulty
- Intuitive versus deliberative thinking
- Decision analysis framework
- Elements of decisions
- Jack Rabbit Racing example
- Decision analysis tools
- Decision trees
- MANPADS example
- Subjective judgments
- Preferences and trade-offs
- Expert probability judgments
- Nuclear waste repository example
- Monte Carlo simulation
- Space shuttle heat tile example
- SS Central America example
- Value of decision analysis
- Decision analysis in organizations
- SmithKline Beecham example
- Summary and conclusion
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Talk Citation
Clemen, R. (2018, June 27). Decision analysis [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved December 21, 2024, from https://doi.org/10.69645/WPFI9146.Export Citation (RIS)
Publication History
Transcript
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0:00
Have you ever had a difficult decision to make?
One that you just could not see your way through.
In this presentation, I want to offer decision analysis as an approach, a framework,
some tools that can be used to deal with very complicated, very hard decisions.
In these series of presentations,
you've seen some ways,
that as humans we make mistakes, we're biased.
And with decision analysis, the hope is that you will get a systematic way to think
through decisions and one that will help you avoid some of those mistakes and biases.
I'm Bob Clemen.
I'm a professor of Decision Sciences at the Fuqua School of Business at Duke University,
and I've been involved in decision analysis for over 25 years.
I hope you enjoy this quick overview.
I will not be able to make you into
a complete expert but at least I can walk you through the basics.
1:01
So the first question is, why decision analysis?
Why go to all the trouble to learn how to build
complicated models and perform intricate analysis?
Why not just use your intuition?
Why not just use your gut?
Should I be able to teach you that?
Well, in some cases,
your intuition will work.
But in many cases and especially these complicated ones,
in hard decisions often it doesn't.
With my co-author, Terence Reilly,
we've gone to a lot of trouble to write a textbook called,
"Making Hard Decisions" that is an introduction to decision analysis.
And I want to persuade you that we're not making
decisions hard with all of the analysis that I'll be talking about.
We are trying to deal with hard decisions by using analysis to evaluate those decisions.