Management and Information Technology


MGTE 41053

Advanced Optimization methods in Management Science

Status : Elective
Pre-requisite : MGTE 31093 Co-requisite : None

On completion of this course, the student should be able to:

  • Identify and analyze business problems and formulate decision problems as mathematical programmes.
  • Assess the main issues in a situation and choose an appropriate approach to tackling them.
  • Use the concepts discussed to analyze different types of business problems.
  • Select the appropriate technique and develop solutions to assist managerial decision making.

Reliability Theory, Integer programming, Pure integer, Mixed integer, Binary, Optimality, Relaxation and Bounds, Branch and bound method.
Advanced queuing theory, Dynamic Programming: Introduction to Dynamic Programming under certainty and under uncertainty, Infinite State Dynamic Programming.

Lectures, Interactive classroom sessions, case discussions, tutorials, and applications of OR software.
End-of-semester examination, practical tests, group tests, and in-class assessments.

  1. Winston, WL (2001), Operations Research Applications and Algorithms.
  2. Anderson, D R, Williams, T A and Sweeney, S J (2011), An Introduction to Management Science: Quantitative Approaches to Decision Making, 12thEdition, South Western Pub.
  3. Hamady, AT (2006), Operations Research in Introduction, 8th Edition, Prentice Hall.
  4. Fedrick, F H (2004),Introduction to operations research, 8th edition, McGraw-Hill Professional.