• 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.
Quantitative Techniques: 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
Theory of Games: Two persons Zero Sum games, Pure and Mixed strategy
• 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.
Links:
[1] https://www.business.iisuniv.ac.in/courses/subjects/quantitative-techniques
[2] https://www.business.iisuniv.ac.in/academic-year/2018-2019