The course will enable students to understand the role and application of various quantitative and Operations Research approaches in business decision-making.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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24FSG423 |
Operation Research (Theory) |
CO103. Analyze decision-making situations in business and tools of decision science. CO104 Solve problems of Linear Programming (LP) for optimum allocation of resources using different approaches. CO105. Evaluate the real business problems by applying the knowledge of game and queuing theory. CO106 Examine the transportation and assignment problems and interpret the cost-effective decision. CO107 Analyze the uncertainty and risk situation of business and propose their solution with the decision theory analysis. CO108 Contribute effectively in course-specific interaction |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Case studies
Learning activities for the students: Field activities, Presentation, Solution of Numerical Problems |
Class test, Semester end examinations, Quiz, Solving Numerical problems in tutorials, Assignments, Class Presentation |
• Quantitative Techniques: An Introduction, Statistical and Operations Research techniques, Scope and application of Quantitative and Operation Research Techniques, Scientific approach in decision-making, Limitation of these techniques.
• Linear Programming: Mathematical formulation of problem. Graphical and Simplex Solutions of LPP. Primal and its Dual.
• Game Theory– Meaning, Two Person zero sum game , Mix strategies.
• Queuing Theory – meaning , concepts and problems related with Queuing Theory.
• 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: Maximin, Minimax, and Maximax expected pay off andregret, Expected value of Perfect Information, Decision Tree Analysis.
1. Kapoor, V. K., Operational Research, Sultan Chand & Sons, New Delhi
2. Vohra, N. D., Quantitative Techniques In Management, Tata McGraw Hill, New Delhi
3. Taha, Hamady A. , Operational Research An Introduction, Prentice Hall of India, New Delhi
4. Mathur, Khandelwal, Gupta, Gupta, Operational Research, Ajmera Book Company, Jaipur
5. Nag, N. K., Quantitative Methods, Kalyani Publishers, Jaipur
6. Agarwal, N.P., and Agarwal, Sonia, Quantitative Techniques For Management, Ramesh Book Depot, Jaipur
1. Kapoor, V. K., Operational Research, Sultan Chand & Sons, New Delhi
2. Vohra , N. D., Quantitative Techniques in Management, Tata McGraw Hill, New Delhi
3. Taha,Hamady A. , Operational Research: An Introduction, Prentice Hall of India, New Delhi
E-Resources
1. NPTEL Video on Operation research- https://youtu.be/vv8Sk4zZ6Hw
2. PG Paathshaala module research - http://epgp.inflibnet.ac.in
3. European Journal of Operational Research
4. Operations Research Letters
5. Journal of the Operational Research Society
6. Asia-Pacific Journal of Operational Research
7. Mathematics of Operations Research