Program

General structure (still subject to changes):

Day 1: Stochastic programming

• General model, classical models in transportation and logistics
• Exact solution techniques: Benders decomposition/L-Shaped method and enhancements
  
• Heuristic solution techniques and examples

Day 2: Markov Decision Processes

• Modeling: What does a MDP model?
• Modeling: Classical models in transportation and logistics
• Solution techniques
• Illustration of application to a transportation problem

Day 3: Hands-on workshop

• Introduction of problem to model and solve
• Python framework and data-sets
• Students work in groups to develop model, solution approach and present their work