Automotive Engineering
OPERATION RESEARCH
Description
Laboratory
4
Instructors
Manuel Pereira Lopes
Contents
1. Linear Programming (70%)
1.1. Formulating a mathematical model
1.2. The linear programming model
1.3. The Simplex method
1.4. Sensitivity Analysis.
1.5. Integer programming models
2. Multicriteria Decision Making (20%)
2.1. Goal programming
2.2. Fundamental concepts (dominance, Pareto Front)
2.3. Techniques for generating non-dominated alternatives
3. Fundamental Concepts of Nonlinear Programming (10%)
Learning Outcomes
Enable students to use Operational Research techniques in solving complex problems, including the identification and analysis of alternative decisions.
OB1- Analyse and solve complex problems, including the identification and analysis of alternative decisions;
OB2- Build mathematical programming models;
OB3- Use of Operations Research software to solve complex problems and sensitivity analysis of solutions.