The objective of the course is to familiarize students with simulation methods, which are extremely useful in decision making for logistics management. When the system under examination is extremely complex, as usually is the case in Logistics and Supply Chain Management, modeling and analytical optimization may be impractical if not impossible. In such cases, simulation techniques may be the only feasible alternative for the decision maker.
The course covers the most important modeling techniques as well as discrete event simulation concepts, using both spreadsheets and simulation software, emphasizing on problems and applications on planning and operation of supply chains and logistics management.
- Banks, J., Carson, J.S.II, Nelson B.L. and Nicol, D.M. Discrete-event systems simulation, 5th edition, Pearson Education Limited, 2013.
- Kelton, D.W., Sadowski, R.P. and Zupick, N.B. Simulation with Arena. 6th edition, Mc Graw Hill, 2014.
- Ross, S.M., Simulation, 5th Edition, Elsevier, 2013.