v2.6.3 (3729)

Tronc Commun - UE-M-MILES-DSS : Decision Support Systems

Illustration de la fiche

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:
  • Cours Magistraux : 45
  • Projet : heures encadrées présentielles : 45

Soit 150 heures de travail global estimé pour l’étudiant.

effectifs minimal / maximal:

5/40

Diplôme(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 20

Littérale/grade européen

Pour les élèves du diplômeManagement of International Lean and Supply chain projects

Vos modalités d'acquisition :

MCQ Test

Group Case studies

individual Exams

Le rattrapage est autorisé
    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.

    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 Mining

    Méthodes pédagogiques

    Face-to-Face sessions, Non Face-to-Face sessions, Exercices, Use Cases

    Support pédagogique multimédia

    Oui

    Veuillez patienter