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Our Degree Programs
Establishment
Language of instruction
English
Teaching content
QUANTITATIVE METHODS
Training officer(s)
J.SIANI
Stakeholder(s)
JOSEPH SIANI, BUISINE MATTHIEU, AMAR JENNIFER
Présentation
Prerequisite
Strong background in applied mathematics including calculus and linear algebra.
Strong background in probability and statistics.
Knowledge in algorithms will be helpful
Strong background in probability and statistics.
Knowledge in algorithms will be helpful
Goal
At the end of the course, the student should be able to:
- understand basic theoretical principles in optimization;
- understand formulation of optimization models;
- understand solution methods in optimization;
- understand methods of sensitivity analysis and post processing of results
- apply optimization techniques to a wide range of business problems
- implement practical cases, by using EXCEL SOLVER
- understand basic theoretical principles in optimization;
- understand formulation of optimization models;
- understand solution methods in optimization;
- understand methods of sensitivity analysis and post processing of results
- apply optimization techniques to a wide range of business problems
- implement practical cases, by using EXCEL SOLVER
Presentation
Linear Programming (LP) and allocation of resources
Maximization then Minimization problems
Graphical LP Minimization and Maximization solution
Linear Programming-Simplex Method for Maximizing
Linear Programming-Big-M Method for Optimizing
Sensitivity Analysis: Changes in Objective Function
Duality
Maximization then Minimization problems
Graphical LP Minimization and Maximization solution
Linear Programming-Simplex Method for Maximizing
Linear Programming-Big-M Method for Optimizing
Sensitivity Analysis: Changes in Objective Function
Duality
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours magistral | 16,00 | ||
| Travail personnel | |||
| Charge de travail personnel indicative | 32,00 | ||
| Overall student workload | 48,00 | ||
Evaluation
1. Presence/Participation
2. Final Exam
3. Final project (Project 1 = 15% and Project 2 = 25%)
2. Final Exam
3. Final project (Project 1 = 15% and Project 2 = 25%)
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Examen (final) | |||
| Examen écrit | 2,00 | 1 | 50,00 |
| Autres | |||
| Projet Collectif | 0,00 | 2 | 40,00 |
| Contrôle continu | |||
| Participation | 0,00 | 0 | 10,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
Mayne Winston (2004) "Operations Research: Applications and Algorithms", 4th Edition, Brooks/Cole Cengage Learning -
Moore, J.H., L.R. Weatherford (2001) "Decision Modeling with Microsoft Excel", 6th Edition, Upper Saddle River, Prentice Hall -
Winston, W.L., S.C. Albright (2001) "Practical Management Science: Spreadsheet Modeling and Applications", 2nd Edition, Pacific Grove, Duxbury Press -
Taylor Bernard W. (2007) "Introduction to management Sicence", 9th Edition, Pearson Prentice hall -
Anderson, R.A., Sweeny, D.J. (2006) "Applied Production and Operations Management" -
Moore, J.H., L.R. Weatherford (2001) "Decision Modeling with Microsoft Excel", 6th Edition, Upper Saddle River, Prentice Hall -
Winston, W.L., S.C. Albright (2001) "Practical Management Science: Spreadsheet Modeling and Applications", 2nd Edition, Pacific Grove, Duxbury Press -
Taylor Bernard W. (2007) "Introduction to management Sicence", 9th Edition, Pearson Prentice hall -
Anderson, R.A., Sweeny, D.J. (2006) "Applied Production and Operations Management" -