Decision Modeling in Policy Management

1. Front Matter

   Pages i-xxiv

   PDF

2. The Problem Solving Process

   • Giampiero E. G. Beroggi

   Pages 1-35

3. The Analytic Modeling Process

   • Giampiero E. G. Beroggi

   Pages 36-63

4. Descriptive Assessment — Criteria and Weights

   • Giampiero E. G. Beroggi

   Pages 64-87

5. Descriptive Assessment — Alternatives and Ranking

   • Giampiero E. G. Beroggi

   Pages 88-111

6. Values and Normative Choice

   • Giampiero E. G. Beroggi

   Pages 112-143

7. Choices Under Uncertainty

   • Giampiero E. G. Beroggi

   Pages 144-173

8. Uncertainty and Normative Choice

   • Giampiero E. G. Beroggi

   Pages 174-201

9. Sequential Decision Making

   • Giampiero E. G. Beroggi

   Pages 202-231

10. Multi-Actor Decision Making

    • Giampiero E. G. Beroggi

    Pages 232-263

11. Constraint-Based Policy Optimization

    • Giampiero E. G. Beroggi

    Pages 264-333

12. Back Matter

    Pages 334-349

    PDF

The last decade has experienced major societal challenges at the intersection of technological systems and policy making. Prevalent examples are the liberalization of energy and telecommunications markets, the public aversion towards nuclear power plants, the development of high-speed trains, the debates about global warming and sustainability, the development of intelligent vehicle systems, and the controversies concerning the location of waste depositories, airports, and energy systems. These challenges, coupled with the call from industry for a systems-engineering oriented approach to policy analysis, motivated Delft University of Technology to launch the first European School of Systems Engineering, Policy Analysis. and Management (SEPA). The purpose was to educate engineering oriented policy analysts in bridging the gap between engineering systems and policy decision making processes, both for the public and private sector. Up to now, more than 500 first-year students and 30 Ph.D. students have enrolled in the program. In 1993, I set up a class called Quantitative Methods for Problem Solving which had to address the most relevant issues in decision making for policy management, such as linear and non-linear optimization, multiattribute utility theory, multicriteria decision making, concepts from game theory, outranking relations, and probabilistic influence diagrams.

• calculus
• decision making
• development
• game theory
• linear optimization
• management
• modeling
• optimization
• problem solving
• Quantitative Methods
• utility theory

Policies and ethics