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Presentation
Presentation
Provides knowledge, skills and tools for decision aiding in complex problems of Industrial Engineering and Management. Its scope includes the application of different methods for structuring evaluation models with multiple actors, objectives and alternatives, as well as the incorporation of uncertainty and risk.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 6
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT6606-23870
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
1. Introduction and objectives 2. Decision Analysis and its theoretical foundations 3. Decision, Decision Maker, Objectives, Actions, Constraints 4. Types of Decision 5. Single-objective decisions. Time preference 6. Multi-criteria decision models 7. Objectives and indicators 8. Estimating consequences 9. Scales of measurement 10. Relative and absolute evaluation 11. Value functions 12. Weighting procedures 13. Uncertainty and Risk 14. Dominance Analysis 15. Scenario Analysis 16. Sensitivity Analysis 17. Monte Carlo Simulation 18. Stochastic Dominance
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Objectives
Objectives
This curricular unit aims to deepen students' knowledge of models, processes and tools to support decision-makers. Such support will focus in structuring and exploring decisions characterized by the complexity of their context, multiple objectives, uncertainty, risk, and differences of opinion. More specifically, students will learn to: structure complex decision problems, in public or private context, and break them down into manageable parts; integrate goals and preferences of different decision-makers into the decision support model by eliciting their subjective preferences. include uncertainty and risk in decision support models and to test their assumptions; analyze real examples of decision analysis applications with uncertainty and risk; select and use decision support tools.
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Teaching methodologies and assessment
Teaching methodologies and assessment
State-of-the-art software and hands-on application of the syllabus to solve a real-world decision problem.
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References
References
Clemen, R. T., Reilly, T. (2013). Making Hard Decisions With Decision Tools (3rd edition). Cengage Learning Yoe, C. (2019). Principles of Risk Analysis: Decision Making Under Uncertainty (2nd Edition). CRC Press
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Office Hours
Office Hours
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Mobility
Mobility
No