Publication in the Diário da República: Despacho nº 9183/2020 - 25/09/2020
6 ECTS; 1º Ano, 2º Semestre, 30,0 T + 16,0 PL + 14,0 TP , Cód. 300107.
Lecturer
- Luís Miguel Merca Fernandes (1)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Not applicable
Objectives
Students should be able to identify optimisation problems in chemical processes, formulate them mathematically, select appropriate strategies to solve them and use optimisation software in integrated problem-solving environments and algorithmic solvers.
Program
1. Linear Programming (LP) Model
2. Simplex Method
3. Linear Duality
4. Post-Optimization and Sensitivity Analysis
5. Transport Problem
6. Assignment Problem
7. Dynamic Programming
8. Formulation and Resolution of Optimization Problems in Chemical Technology
Evaluation Methodology
Continuous assessment: one written test marked from 0 to 14 and a computational project marked from 0 to 6. The project includes report and public presentation. In order to be exempt from exam, students must obtain at least 5 in the test, 3 in the project and the sum of the two must be at least 10/20.
If the student was admitted to the exam, or was exempt but wishes to improve his mark, he can take the regular period exam - a written test (marked from 0 to 14) covering all the subjects taught and a computational project with an oral defence. He must obtain at least 5 marks in the written test, 3 marks in the computational project, and if the sum of the marks obtained is equal to or greater than 10 marks.
-If the student fails the firts-attempt exam, he/she can propose to take the resit exam - test with the same rules of the first attempt assessment.
NOTE:
In any form of assessment, a mark of 17 or higher requires the student to take an extraordinary exam.
Bibliography
- Gill, P. e Murray, W. e Wright, M. (1981). Practical Optimization. Cambridge: Academic Press
- Hiller , F. e Lieberman, G. (1989). Introduction to Operations Research. New York: McGraw-Hill
- Lasdon, L. e Himmelblau, D. e Edgar, T. (2001). Optimization of Chemical Processes. New York: McGraw-Hill.
- Magalhães, A. e Guerreiro, J. e Ramalhete, M. (1994). Programação Linear. Lisboa: McGraw-Hill
- Sherali, H. e Jarvis, J. e Bazaraa, M. (1990). Linear Programming and Network Flows. New York: Wiley
Teaching Method
Lectures supported by practical cases, theoretical-practical and practical-laboratory lessons.
Software used in class
