INTRODUCTION
Development of optimization techniques, nature and characteristics of operation research, methodology of optimization, applications of optimization techniques, classification of operation research model, uses and limitation of optimization techniques.
LINEAR AND DYNAMIC PROGRAMMING
Introduction to operations research - Linear programming, problem formulation, graphical solution, solution by simplex method. Dynamic programming
TRANSPORTATION PROBLEM
Transportation problem, mathematical formulation of problem, steps in transportation method, methods for finding initial basic feasible solution, degeneracy in transportation problem.
ASSIGNMENT PROBLEMS
Mathematical formulation, assignment algorithm methods for solving assignment problems. Network problems.
SIMULATION
Basic principles and concepts - Random variant and random process - Monte Carlo techniques - Model development - Inputs and outputs - Single and multipurpose reservoir simulation models - Case studies.
ADVANCED OPTIMIZATION TECHNIQUES
Goal programming models with applications. Discrete differential dynamic programming and incremental dynamic programming - Linear decision rule models with application - Stochastic dynamic programming models.