The objective of this course is to acquaint the students with the use of operational research techniques in decision-making
Operations Research: Basic Concepts and Definitions, merits and demerits, Techniques of operations research, role of operations research, application areas of operations research
Linear Programming: Mathematical formulation of Linear Programming problems and their solution using Graphic approach and Simplex method, Duality.
Transportation: Meaning, definition, Solving the problem. unbalanced problems, prohibited route, Maximization objective, and Prohibited Routes
Assignment: Solving the problem. Cases of unbalanced problems, multiple optimum solutions, maximization objective and unacceptable assignments
PERT/CPM: Network with one estimate of time. Networks with three estimates of time. Time-cost trade-off. Probability consideration under Pert
Game Theory: Games of Pure strategy, Games of Mixed strategy, Law of Dominance, Sub Game
Queuing Theory: Elements of Queuing theory, Single Channel Queuing Problem.
Decision Theory: Maximin, Minimax, and Maximax expected pay off and regret, Expected value of Perfect Information, Decision Tree Analysis, Theory
Simulation- Methodology and Application of Simulation technique, Solution of elementary inventory and queuing problems by using
Monte Karlo Simulation Model