Learning Outcomes
Aim 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.
Course Content (Syllabus)
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.
Additional bibliography for study
Banks, J., Carson, J.S.II, Nelson B.L. and Nicol, D.M. Discrete-event systems simulation, 4th edition, Prentice Hall, 2005.
Ross, S.M., Simulation, 5th Edition, Academic Press, 2012.
Ragsdale, C., Spreadsheet modeling and decision analysis, 7th edition, South-Western Educational Publishing, 2014.