IMMG 12043

>< Title : Operations Research 1
>< Type/Status : Core Course
>< Teaching and learning objectives:
The objective of this course is to present scientific and mathematical approaches to use when faced with day-to-day managerial decision problems, as well as specific quantitative tools used to solve managerial problems.
On successful completion of this course, students will be able to apply different quantitative techniques and sensitivity analysis in managerial decision making, using software in particular.
>< Course Content:

Linear Programming: Introduction to Operation Research and Linear Programming; Formulation; Algebraic Representation; Graphical Method of Solving Linear Programming problems, in-depth look at the Simplex method, computational enhancements; the revised simplex method. Duality and Economic Interpretation, Dual Simplex, Sensitivity Analysis, Use of Computers in Solving Linear Programming Applications, Case Studies.

Special Types of Linear Programming Problems: The Transportation Problem, The Assignment Problem.

Network Modeling: Introduction to network problems in operations research, Solution techniques for various classes of such problems. Mathematical techniques to solve minimal-cost network flow, maximal flow, shortest path, problems

>< Methodology:
The course will be delivered in a combination of lectures, tutorials and applications of OR software such as TORA and Solver to solve large-scale linear programs.
>< Scheme of Evaluation:
End-of-semester examination and continuous assessment on practicals and tutorials.
>< Recommended Reading:
1. Anderson D R, Williams T A and Sweeney S J, “An Introduction to Management Science: Quantitative Approaches to Decision Making”, 9th Edition, West Publishing Company.
2. Hamady A. Taha, “Operations Research in Introduction”, 1997, Prentice Hall.

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