Descriptif
Learning about advanced decision support techniques such as Operational Research, Discrete Event Simulation and Data Sciences.
Objectifs pédagogiques
Course 7.1 : Quantitative Models (Operational Research)
- Understand the different problem types to Supply Chain optimization, at the different decision levels, in different physical environment and different modelling approach
- Understand the different components of a mathematical model of a real problem in a Supply Chain
- Be able to create new mathematical programming models from real problems in a Supply Chain and know the tools for optimizing it
- Understand the basic operation of a Supply Chain and take decisions in real-time
Course 7.2 : Discrete Event Simulation
- Understand how to model a discrete event simulation problem
- Be able to implement a simple discrete event simulation problem
- Be able to analyze and criticize the results of a discrete event simulation model
Course 7.3 : Data Sciences
- Understand the main techniques of exploiting and analysing datasets
- Know the main Artificial intelligence tools that can be used in Supply Chain context
- Be able to use such a technique through dedicated software
45 heures en présentiel
réparties en:
- Travail en Autonomie programmé à l'EDT : 45
- Cours Magistraux : 45
effectifs minimal / maximal:
5/40Diplôme(s) concerné(s)
Pour les élèves du diplômeManagement of International Lean and Supply chain projects
Fundamental of Supply Chain Management Global Supply Chain Management Demand & Flow Management
Format des notes
Numérique sur 20Littérale/grade européenPour les élèves du diplômeManagement of International Lean and Supply chain projects
Vos modalités d'acquisition :
MCQ Test
Group Case studies
individual Exams
L'UE est acquise si Note finale >= 10 et aucune Note finaledes Modules <10- Crédits ECTS acquis : 9 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les élèves du diplômeGestion mention Supply Chain And Lean Management
La note obtenue rentre dans le calcul de votre GPA.
Programme détaillé
Course 7.1 : Quantitative Models (Operational Research)
Course 7.2 : Discrete Event Simulation
Course 7.3 : Data Sciences
Mots clés
Operational Research, Analytical Models, Discrete Event Simulation, Machine Learning, Data MiningMéthodes pédagogiques
Face-to-Face sessions, Non Face-to-Face sessions, Exercices, Use CasesSupport pédagogique multimédia