Actualités et agenda
Nos formations
Établissement
Langue d'enseignement
English
Matières
QUANTITATIVE METHODS
Ce cours apparaît dans les formation(s) suivante(s)
Diplôme IÉSEG (Bac +5) Programme Grande École
- Crédits ECTS: 2.00
Responsable(s)
M.BUISINE
Intervenant(s)
Joseph Sian
, Matthieu Buisine
, Matthieu Buisine
Présentation
Prérequis
- Being able to model single objective problems
- Mastering the solving methods (graphical, spreadsheet, simplex, Big M…)
- Being able to conduct a sensibility analysis.
- Mastering the solving methods (graphical, spreadsheet, simplex, Big M…)
- Being able to conduct a sensibility analysis.
Objectifs
- Take optimal decisions in the presence of trade-offs between two or more conflicting objectives.
- Be able to solve a transportation problem
- maximize performance whilst minimizing other counstaints at the same time.
- Find a representative set of Pareto optimal solutions, and/or quantify the trade-offs in satisfying the different objectives and/or finding a single solution that satisfies the subjective preferences of a human decision maker
- Be able to solve a transportation problem
- maximize performance whilst minimizing other counstaints at the same time.
- Find a representative set of Pareto optimal solutions, and/or quantify the trade-offs in satisfying the different objectives and/or finding a single solution that satisfies the subjective preferences of a human decision maker
Présentation
- Mathematical foundations of optimization, modeling and solution techniques for very large and/or complex problems, algorithmic solution methods.
- Duality and transportation problem
- Network optimisation
- Integer programming
- Decision under risk and uncertainty
- Markov chains
- Duality and transportation problem
- Network optimisation
- Integer programming
- Decision under risk and uncertainty
- Markov chains
Modalités
Organisation
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 16,00 | ||
| Autoformation | |||
| Lecture du manuel de référence | 6,00 | ||
| Travail personnel | |||
| Group Project | 10,00 | ||
| Charge de travail personnel indicative | 15,00 | ||
| Overall student workload | 47,00 | ||
Évaluation
In this course, the student will be evaluated by:
• a classical final exam
• involvement in the final project (individual work)
• project results (collective work
• a classical final exam
• involvement in the final project (individual work)
• project results (collective work
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| Participation | 16,00 | 1 | 25,00 |
| Examen (final) | |||
| Examen écrit | 2,00 | 1 | 40,00 |
| Autres | |||
| Projet Collectif | 0,00 | 1 | 35,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliographie
Operations Research, Applications and Algorithms (2004) Winston, Brooks/Cole -
Ressources Internet