The objective of this course is to provide students with the appropriate basic tools of mathematical programming for the decision support in management and operations systems. The course “Operations Research II” completes to a greater extent this knowledge in order to give students an entire Operations Research methodology.
Syllabus:
- Introduction to operations research
- linear programming
- modeling
- Simplex method
- Big M method
- duality
- sensitivity analysis
- IOR Tutorial and Excel Solver
- Network optimization
- graphs and networks
- the shortest path
- minimum spanning trees
- maximum flow problem
- minimal cost flow problem
F.S. Hillier, G. J. Lieberman, Introduction to Operations Research, 10th edition, Mc Graw-Hill International Edition
Hamdy A. Taha, Operations Research: An Introduction, 10th Edition, 2017
Operations Research: Applications and Algorithms, W. L. Winston, Duxbury Press, 2003
Linear Programming, J.P. Ignizio, T.M. Cavalier, Prentice Hall, 1993
Operations Research: Principles and Practice, A. Ravindran, D.T. Philips, J.J. Solberg, Wiley, 1987
Linear Programming and Network Flows, M. S. Bazaraa, J.J. Jarvis, H.D. Sherall, Wiley, 1990
Introduction to Operations Research Techniques, H. G. Daellenbach, J. A. George, Allyn and Bacon, 1983
Model Building in Mathematical Programming, H. P. Williams, Wiley, 1999
An Introduction to Management Science: Quantitative Approaches to Decision Making, D.R. Anderson, D.J. Sweeney, T.A. Williams, J.D. Camm, R.K. Martin, South-Western College Pub, 2011
Tools for Thinking: Modelling in Management Science, M. Pidd, Wiley, 2003
Introduction to Management Science, B.W. Taylor, Prentice Hall, 2009
A Practical Introduction to Management Science, D.A. Waters, Addison Wesley Publishing Company, 1998