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

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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

Unités constitutives

Enseignement Type d'enseignement Domaines Catégorie d'enseignement Volume horaire Responsables Lien Campus
MOD-M-MS-DES Discrete Event Simulation Tronc Commun 12 Anne-Marie BARTHE-DELANOË,
Franck FONTANILI
MOD-M-MS-DataScie Data Sciences Tronc Commun 15 Anne-Marie BARTHE-DELANOË
MOD-M-MS-OpeRes Operational Research Tronc Commun 15 Anne-Marie BARTHE-DELANOË

45 heures en présentiel
réparties en:
  • Travail en Autonomie programmé à l'EDT : 45
  • Cours Magistraux : 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

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 Mining

Méthodes pédagogiques

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

Support pédagogique multimédia

Oui

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