This module introduces the learner to the area of Operations Research. It covers the basics of Stochastic Processes, Queuing Theory, Linear Programming, Transportation and Network Analysis. It emphasises the problem solving and application aspects of the subject.
Introduction to Markov Chains. Transition Matrices. Limiting State Probabilities. Applications.
Introduction to queuing theory and its notation. Simple M/M/1 queueing model. Calculation of idle times, busy times, L, Lq,W and Wq for this model.
Introduction to and examples of linear programmes. Graphical representation. Use of simplex method to solve simple problems.
Formulation of simple transportation models. Sources, destinations, costs. Formulation of problems as linear programming models.
Northwest corner method for initial basic feasible solution.
Introduction to Networks. Minimal Spanning Tree Method.
Lectures supported by problem-solving sessions and the use of mathematical software packages.
|Module Content & Assessment