
Syllabus
BA4201
Quantitative Techniques for Decision Making
UNIT I: Introduction to Linear Programming (LP) 9
Relevance of Quantitative Techniques in Management Decision Making. Linear Programming-Formulation, Solution by Graphical and Simplex Methods (Primal - Penalty, Two Phase), Special Cases.
Sensitivity Analysis.
UNIT II: Linear Programming Extensions 9
Transportation Models (Minimising and Maximising Problems) – Balanced and Unbalanced Problems – Initial Basic Feasible Solution by N-W Corner Rule, Least Cost and Vogel’s Approximation Methods. Check for Optimality. Solution by MODI / Stepping Stone Method. Case of Degeneracy. Transhipment Models.
Assignment Models (Minimising and Maximising Problems) – Balanced and Unbalanced Problems. Solution by Hungarian and Branch and Bound Algorithms. Travelling Salesman Problem. Crew Assignment Models.
UNIT III: Decision and Game Theories 9
Decision Making under Risk – Decision Trees – Decision Making under Uncertainty.
Game Theory-Two-Person Zero Sum Games-Saddle Point, Dominance Rule, Convex Linear Combination (Averages), Methods of Matrices, Graphical and LP Solutions.
UNIT IV: Inventory and Replacement Models 9
Inventory Models – EOQ and EBQ Models (With and without Shortages), Quantity Discount Models.
Replacement Models-Individual Replacement Models (With and without Time Value of Money) – Group Replacement Models.
UNIT V: Queuing Theory and Simulation 9
Queuing Theory - Single and Multi-Channel Models – Infinite Number of Customers and Infinite Calling Source.
Monte Carlo Simulation – use of Random Numbers, Application of Simulation Techniques
- Stock: Out Of Stock
- Publisher: Thakur Publishers
- Author: Dr. G. Pandi Selvi , Dr. T. Sekar , Dr. S. Kalaivani
- ISBN: 9789354804724