METHODS AND MODELS IN SUPPORT OF DECISION-MAKING (1st UNIT)
Learning outcomes of the course unit
This course is aimed at providing students with the basic techniques and algorithms of integer programming and combinatorial optimization as applied to some relevant problems in industrial and operations engineering.
Course contents summary
1. Elements of Integer Programming and Combinatorial Optimization. Review on Linear Programming. Integer Linear Programming: formulation techniques for integer programming problems. Exact algorithms for the solution of integer programming and combinatorial problems: cutting plane methods; branch and bound; dynamic programming. Lower and upper bounds for the optimum: Lagrangian relaxation and Lagrangian duality. Heuristic methods: greedy techniques, local search techniques, improvement heuristics, savings algorithm. 2. Applications. Location problems: plant and facility location models. Distribution problems: transportation problems; distribution problems; the Vehicle Routing problem; the Travelling Salesman Problem. Scheduling problems.
- L. A. Wolsey, Integer Programming, Wiley-Interscience,1998
- Ghiani G., Musmanno R., Modelli e metodi per l’organizzazione dei sistemi logistici, Pitagora Editrice, Bologna, 2000.
- F. S. Hillier, G. J. Lieberman, Introduzione alla ricerca operativa, Ottava edizione, McGraw-Hill, Milano, 2006.
Class lectures and recitation sessions
Assessment methods and criteria
Written and oral exam