MGTE 22032


Status : Elective Pre-requisite : G.C.E. (A/L) Co-requisite : None


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

  • identify and analyse business problems and formulate decision problems as mathematical programmes
  • apply appropriate quantitative techniques and perform sensitivity analysis in managerial decision-making
  • identify and use software to solve complicated managerial problems.

Fundamentals of Decision Making & Problem Solving: Introduction to Operations Research, How quantitative methods can help with decisions and problems, Understanding the limitations relevant to decision making.

Linear Programming: Introduction to Linear Programming (LP). Applications of LP; problem formulation, algebraic representation, graphical method of solving LP problems, in-depth look at the simplex method, duality and economic interpretation, sensitivity analysis. Use of computers in solving LP problems.

Distribution/Network Decisions: Special Features of Transportation and Assignment Problems.

Network Models for Project Scheduling (PERT/CPM):Introduction to PERT and CPM, construction of networks, determining the critical path, project scheduling with uncertain activity times, crashing activity times, planning and scheduling, project costs.

Lectures, tutorials and practical sessions of OR software ‘Solver’ to solve large-scale linear programs and Microsoft Project for project scheduling.

End of course unit examination, group assignments, class attendance and in-class assessments.

  1. Anderson, D R, Williams, T A and Sweeney, S J (2011). An Introduction to Management Science: Quantitative Approaches to Decision Making. South Western College Pub
  2. Taylor III, B W (2012). Introduction to Management Science. Prentice Hall.