General objective:
- to be able to model mathematical problems in logistics
- to be able to apply algorithms to find a solutions for those models.
Planned agenda:
General introduction and learning
objectives
Module 1 – Introduction and
Modeling
Module 2 – Linear Programming –
Modeling and graphical solution
Module 3 – Linear Programming –
Simplex algorithm, duality and computation aspects
Insertion – Complexity Theory
Module 4 – Integer Programming (IP algorithms and Heuristics)
Module 5 – Network Model (Sortest route, MSP, TSP, Transportation Problem)
Module 6 – Dynamic Programming (Markov Chains, Airline Revenue Management problem)