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