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Educational program for corporate practitioners
In collaboration with
Eurodecision,
Ordecsys proposes advanced educational programs
on methods and techniques of Operations Research.
- Linear Programming
- Robust Optimization
Our goals
Provide practitioners and consultants with methodological tools for evaluating and optimizing systems
- in logistics, management of material and financial flows and management of human resources
- with adequate concern for inherent uncertainties.
Teaching is based on application cases and focuses on practice and implementation.
Next scheduled sessions
| Paris |
Geneva |
16-17 June Robust Optimization |
12-13 June Linear Programming 23-24 June Robust Optimization |
8-9 Sept. Linear Programming 15-16 Sept. Robust Optimization |
25-26 Sept. Linear Programming 29-30 Sept. Robust Optimization |
Registration fees
990 Euros for each two-day module
Information and registration
For registration and/or additional information, please contact Frédéric Babonneau:
- Tel + 41 78 889 36 73 or + 41 22 940 30 20
- E-mail fbabonneau@ordecsys.com
Download the access plan to Ordecsys
Download the access plan to Eurodecision
1 Linear Programming
Sessions on Linear Programming are organized under the leadership of
Eurodecision
Session goals
- Discover the value of Linear programming to solve practical problems.
- Understand the principles underlying the known solution methods (Simplex algorithm, Branch & Bound).
- Gain familiarity in model building.
- Implement methods and interpret results.
- Review available technologies and tools.
Description
Airline scheduling, planning the assembly line of an automotive company, building bus drivers schedules,
devising purchasing policies for a food industry, are just a few illustrative examples of the many
applications of Linear Programming.
EURODECISION proposes a two-day intensive training to grasp the merits of Linear Programming to
solve a great variety of industrial and business problems.
The session is aimed to engineers and consultants in charge of the design and implementation
of decision support systems, or in charge of studies based on optimization models, but it is also
relevant for decision makers who use decision support systems and their results.
This training session will focus on the modeling of real-life problems and on the
implementation of these models through the more recent information processing and
computer tools.
At the session completion, each participant should have gain enough familiarity with
modeling issues, solution methods and their implementation to evaluate their potential
in their own company.
Download the detail program on Linear Programming (in french)
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2 Robust Optimization
Sessions on Linear Programming are organized under the leadership of
Ordecsys.
The program is aimed to practitioners, engineers and consultants, with some experience in using
Linear Programming to solve real-life problems, but who wish to extend their models to account for
uncertainties and risk.
Session goals
After program completion, the participants will be able to implement a simple and efficient method
for linear programming models of decision under uncertainty, after having effectively solved some
real examples. The training session will help them to
- Track and formalize uncertainty in their real-life problems.
- Incorporate uncertainty in a Linear Programming model.
- Master the logic and principles of Robust Optimization to build solutions that
are robust against uncontrolled variations.
- Learn how to formulate and solve a robust version of a linear program.
- Use Monte-Carlo simulation to gauge the value of a robust solution.
- Review existing tools for Robust Optimization.
Description
To learn the principles and methods, the participants will be asked to solve some
typical problems like i) plant and warehouse location under uncertain distribution
costs; ii) determining an optimal mix when the constituent contents of the raw materials
lie within some uncertainty range; iii) planning production under uncertain inventory
costs; iv) managing a portfolio to ensure a minimum revenue with sufficient probability;
v) planning production with uncertain demands.
The prerequisite to the session is some familiarity with Linear Programming (formulation,
interpretation of results, basic understanding of duality). The session on Linear Programming
organized by EURODECISION is an ideal preparation.
At the session completion, the participants will have realized that neglecting uncertainty in
some models may lead to disastrous proposals. Conversely, they will have learned how to
implement Robust Optimization, a simple and efficient method to deal with uncertainty.
Download the detail program on Robust Optimization (in french)
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