The objective of the course is to equip the student with basic quantitative tools required to perform the role as a manager and to evaluate and arrive at logical conclusions & inferences to the decisions.
Meaning, Nature, Scope and Role of Operations Research, Scientific approach in decision-making, Techniques of OR, Limitations of OR
Linear Programming-Mathematical formulation of Linear Programming problems and their solution using Graphic approach. Simplex method,.
Unbounded solution, Multiple Solutions, Non-Feasible solutions, Degenerate solutions, Primal and its dual. Introduction to Sensitivity Analysis
Transportation-General structure of transportation problem, methods of finding initial basic feasible solution (NWCM, LCM & VAM), test for optimality (MODI Method), Cases of unbalanced problems, Degeneracy, Multiple solutions and Prohibited Routes.
Solving the problem. Cases of unbalanced problems, multiple optimum solutions, maximization objective and unacceptable assignments
Sequencing Problems- General Assumptions, Basic Terminology, Processing n-jobs through two machines, Processing n-jobs through three machines, Processing n-jobs through m- machines
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.)
Two persons Zero Sum games. Markov’s analysis-Introduction, application, state transition matrix, n steps transition probabilities, Markov Chain Algorithm.
Shrivastava Shenoy Sharma, Quantitative Techniques in Management, New Age Publications
• J. K. Sharma, Operations Research”, McMillan India
• N. D. Vohra ,Quantitative Techniques in Management”, Tata McGraw Hill Publications
• Anderson Williams ,Quantitative Methods for Business, 10th Edition Thopson
• Tulisian, Quantitative Techniques Theory and Problems, Pearson Education.
• S. D. Sharma, Operations Research, Kedar Nath and Ram Nath & Co. Ltd.