Coming soon
Operations Research
• The objective of the course is to equip the student with basic quantitative tools required to perform the role as a manager.
• To do analytical evaluation and arrive at logical conclusions & inferences to the decisions
Operations Research: An Introduction , Characteristics, Nature, Scope and Role of Operations Research and Quantitative Techniques, Scientific approach in decision-making, Techniques of OR, Limitations of these Techniques.
Linear Programming: Mathematical formulation of Linear Programming problems and their solution using Graphic approach and Simplex method, Primal and its dual.
Transportation: Solving the problem. Testing the optimality MODI method. Cases of unbalanced problems, Degeneracy, Maximization objective, Multiple solutions and Prohibited Routes.
Assignment: Solving the problem. Cases of unbalanced problems, multiple optimum solutions, maximization objective and unacceptable assignments
Decision Theory-Decision-Making under certainty, uncertainty and risk, Decision tree analysis , Queuing theory-introduction, elementary queuing system, single channel queuing model ( with Poisson arrivals and exponential service times.)
Theory of Games-Two persons Zero Sum games. Markov’s analysis-Introduction, application, state transition matrix, n steps transition probabilities, Markov Analysis Algorithm.
*Case studies related to entire topics are to be taught.
• Operations Research”, J. K. Sharma, McMillan India
• Quantitative Techniques in Management”, N. D. Vohra, Tata McGraw Hill Publications
• Quantitative Methods for Business, Anderson Williams, 10th Edition Thopson
• Tulisian, Quantitative Techniques Theory and Problems, Pearson Education.
• S. D. Sharma, Operations Research, Kedar Nath and Ram Nath & Co. Ltd.
