Th
Forum 'Emplois' - Sujet créé le 2014-05-09
PhD Position (these Cifre en francais)
Robust optimization models in dynamic environments applied to Manufacturing and Logistics
at LAMSADE laboratory (CNRS UMR 7243 – Université Paris Dauphine) with the collaboration of DecisionBrain, Paris, France
Application deadline June 30, 2014. Start date negotiable but ideally by September 2014.
Research area: Mathematical programming, models and applications.
Supervisors at Université Paris-Dauphine:
Fabio Furini (associate professor, http://www.lamsade.dauphine.fr/~furini),
Virginie Gabrel. (associate professor, http://www.lamsade.dauphine.fr/~gabrel)
Supervisors at Decision Brain (http://www.decisionbrain.com/about/):
Filippo Foccaci,
Daniel Godard.
Paris Dauphine University (French: Université Paris-Dauphine), is a public research and higher education institution in Paris, France. Paris-Dauphine University is a faculty of economics and management specialized in the Organization and Decision Sciences. The University is internationally esteemed and award-winning. It is world-wide recognized for academic excellence and for the research quality.
The thesis will take place at LAMSADE which is a joint research laboratory of computer science between Université Paris Dauphine and the CNRS. The main research subjects are Operational Research and Decision theory.
DecisionBrain is a fast growing company that provides Optimization Solutions and Models for industry leaders worldwide. DecisionBrain mission is to help our customers implement innovative solutions that improve their business operations. DecisionBrain team members have 20+ years of international experience in delivering value to customers.
Research topic:
One of the important challenges in today's operations in Supply Chain, Manufacturing and Logistics is to close the gap between planning and execution. In many cases, the recommendations of planning systems cannot be executed due to the necessary approximations considered at the planning level; in all cases, changes in the short term require quickly adapting the existing plans to the new situation.
This challenge can be managed by creating more realistic and more robust plans. The goal of the robust optimization framework is to determine solutions which behave the best in all the possible scenarios, or can be easily adjusted according to the changes of input data. In this context the integration of "sense and respond" capabilities in planning system becomes critical. A "sense and respond" system aims at proposing adjustments to an existing plan based on the knowledge of the environment in near real-time.
The objective of this thesis is to study optimization models that effectively manage these new challenges. These newly developed optimization models will focus on real-world customer problems and real-world applications in the area of Manufacturing and Logistic Operations.
Applicants should have a Masters degree in Industrial Engineering or Computer Science (or equivalent) and an affinity with algorithms and software. Some experience in implementation and computational tests is expected. Fluency in English is necessary. Candidates should be willing to immerse in an industrial environment.
Interested candidates should apply as soon as possible. Inquiries and applications including a detailed CV, a motivation and reference letters, a record of attended courses (with grades), and a copy of the Master's thesis should be addressed to:
virginie.gabrel@lamsade.dauphine.fr, fabio.furini@dauphine.fr, daniel.godard@decisionbrain.com, ffocacci@decisionbrain.com
Robust optimization models in dynamic environments applied to Manufacturing and Logistics
at LAMSADE laboratory (CNRS UMR 7243 – Université Paris Dauphine) with the collaboration of DecisionBrain, Paris, France
Application deadline June 30, 2014. Start date negotiable but ideally by September 2014.
Research area: Mathematical programming, models and applications.
Supervisors at Université Paris-Dauphine:
Fabio Furini (associate professor, http://www.lamsade.dauphine.fr/~furini),
Virginie Gabrel. (associate professor, http://www.lamsade.dauphine.fr/~gabrel)
Supervisors at Decision Brain (http://www.decisionbrain.com/about/):
Filippo Foccaci,
Daniel Godard.
Paris Dauphine University (French: Université Paris-Dauphine), is a public research and higher education institution in Paris, France. Paris-Dauphine University is a faculty of economics and management specialized in the Organization and Decision Sciences. The University is internationally esteemed and award-winning. It is world-wide recognized for academic excellence and for the research quality.
The thesis will take place at LAMSADE which is a joint research laboratory of computer science between Université Paris Dauphine and the CNRS. The main research subjects are Operational Research and Decision theory.
DecisionBrain is a fast growing company that provides Optimization Solutions and Models for industry leaders worldwide. DecisionBrain mission is to help our customers implement innovative solutions that improve their business operations. DecisionBrain team members have 20+ years of international experience in delivering value to customers.
Research topic:
One of the important challenges in today's operations in Supply Chain, Manufacturing and Logistics is to close the gap between planning and execution. In many cases, the recommendations of planning systems cannot be executed due to the necessary approximations considered at the planning level; in all cases, changes in the short term require quickly adapting the existing plans to the new situation.
This challenge can be managed by creating more realistic and more robust plans. The goal of the robust optimization framework is to determine solutions which behave the best in all the possible scenarios, or can be easily adjusted according to the changes of input data. In this context the integration of "sense and respond" capabilities in planning system becomes critical. A "sense and respond" system aims at proposing adjustments to an existing plan based on the knowledge of the environment in near real-time.
The objective of this thesis is to study optimization models that effectively manage these new challenges. These newly developed optimization models will focus on real-world customer problems and real-world applications in the area of Manufacturing and Logistic Operations.
Applicants should have a Masters degree in Industrial Engineering or Computer Science (or equivalent) and an affinity with algorithms and software. Some experience in implementation and computational tests is expected. Fluency in English is necessary. Candidates should be willing to immerse in an industrial environment.
Interested candidates should apply as soon as possible. Inquiries and applications including a detailed CV, a motivation and reference letters, a record of attended courses (with grades), and a copy of the Master's thesis should be addressed to:
virginie.gabrel@lamsade.dauphine.fr, fabio.furini@dauphine.fr, daniel.godard@decisionbrain.com, ffocacci@decisionbrain.com