School in Decision Science and Operations Research

April 27-May 1st, 2020 | MONTRÉAL

About

Contextual setting

Prior to the present excitement for Data science, the Science of decision-making and operations research were dealing with the study of complex problems since mid-20th century. From determining the optimal positioning of the first English radars during WWII, to the development of complex air flight schedules or to modelling of energy resources in a context of greenhouse gas emission control, applications are numerous and complex. For over 40 years GERAD and CIRRELT have developed an internationally known expertise in this field.

Format

  • Theory in the morning
  • Tutorials and case analysis in the afternoon
  • Tutorials will be in small groups

Targeted population

The content of this School is principally made for subject matter experts (SME) with a scientific background such as, but not limited to, engineers, computer scientists, statisticians, technical project managers, product managers, systems engineers and other. Having a mathematical mind is definitely an asset!

Pre-requisite

Basic level knowledge in mathematics and programming of a Bachelor of Science or engineering.

Objectives of the training

At the end of this school, participants should be able to:

  • Identify the general classes of problems they may be faced with;
  • Understand the basics of modeling applicable to a specific type of problem;
  • Have a clear idea of the tools used for problem solving;
  • Understand the inherent complexity of these problems as a whole.

Added value for participants

Montreal is reknown as a leader and a precursor in the field of Operations Research. Participants will be able to benefit from these experts’ knowledge.

Registration

Registration will open soon.

  • Professionals: $1500
  • Professors: $750
  • Students and postdocs: $500

*IVADO members benefit from a 33% rebate on the Professional price; newly attributed free entrances from annual draw may be used.

Languages

This school will be held in French.
The documentation will be in English.

Special Needs

Each participant should have his/her own laptop equipped with Excel software.

Organizing Committee

  • Hugues Delmaire, Research Coordinator, GERAD;
  • Guy Desaulniers, GERAD and Full Professor at Département de mathématiques et génie industriel of Polytechnique Montréal;
  • Michel Gendreau, CIRRELT and Full Professor at Département de mathématiques et génie industriel of Polytechnique Montréal;
  • Sébastien Le Digabel, GERAD and Full Professor at Département de mathématiques et génie industriel of Polytechnique Montréal;
  • Jean-Marc Rousseau, Director of Technology Transfer, IVADO;
  • Nathalie Sanon, Head of IVADO training program, IVADO.

Location

HEC
Édifice Côte-Sainte-Catherine
3000, chemin de la Côte-Sainte-Catherine
Montréal (Québec) H3T 2A7
Map

Confirmed Speakers

Guy Desaulniers
GERAD
Full professor
Département de mathématiques et génie industriel
Polytechnique Montréal

Michel Gendreau
CIRRELT
Full professor
Département de mathématiques et génie industriel
Polytechnique Montréal

Sébastien Le Digabel
GERAD
Full professor
Département de mathématiques et génie industriel
Polytechnique Montréal

Raf Jans
GERAD, CIRRELT
Full professor
Département de gestion des opérations et de la logistique
HEC

Marilène Cherkesly
GERAD
Professor
Département de management et technologie
UQAM

Jorge Mendoza
Visiting professor
Département de gestion des opérations et de la logistique
HEC

Fabian Bastin
CIRRELT
Full professor
Département d’informatique et de recherche opérationnelle
Université de Montréal

Jean-Marc Frayret
CIRRELT
Full professor
Département de mathématiques et génie industriel
Polytechnique Montréal

Program

Speakers: Raf Jens, Marilène Cherkesly and Guy Desaulniers

08:30 – 09:00AM: Coffee – Welcome

09:00 – 10:15AM: Intro / concepts I

10:15 – 10:30AM: Break

10:30 – 12:00PM: Intro / concepts II

12:00 – 01:30PM: Lunch

01:30 – 03:00PM: Intro / outils et modélisation

03:00 – 03:15PM: Break

03:15 – 04:30PM: Intro / programmation mathématique

Speakers: Raf Jens, Marilène Cherkesly and Guy Desaulniers

08:30 – 09:00AM: Coffee

09:00 – 10:15AM: Programmation mathématique I

10:15 – 10:30AM: Break

10:30 – 12:00PM: Programmation mathématique II

12:00 – 01:30PM: Lunch

01:30 – 03:00PM: Analyse de cas

03:00 – 03:15PM: Break

03:15 – 04:30PM: Travaux pratiques

Speaker: Jorge Mendoza

08:30 – 09:00AM: Coffee

09:00 – 10:15AM: Méta Heuristiques I

10:15 – 10:30AM: Break

10:30 – 12:00PM: Méta Heuristiques II

12:00 – 01:30PM: Lunch

01:30 – 03:00PM: Analyse de cas

03:00 – 03:15PM: Break

03:15 – 04:30PM: Travaux pratiques

Speakers: Michel Gendreau and Fabian Bastin

08:30 – 09:00AM: Coffee

09:00 – 10:15AM: Analyse stochastique I

10:15 – 10:30AM: Break

10:30 – 12:00PM: Analyse stochastique II – Files d’attente

12:00 – 01:30PM: Lunch

01:30 – 03:00PM: Analyse de cas

03:00 – 03:15PM: Break

03:15 – 04:30PM: Travaux pratiques

Speakers: Sébastien Le Digabel and Jean-Marc Frayret

08:30 – 09:00AM: Coffee

09:00 – 10:15AM: Simulation Jean-Marc Frayret

10:15 – 10:30AM: Break

10:30 – 12:00PM: Boîtes noires – Sébastien Le Digabel

12:00 – 01:30PM: Lunch

01:30 – 03:00PM: Temps réel

03:00 – 03:15PM: Break

03:15 – 04:30PM: Revue générale : concepts et outils