Course Outcomes (COs)
Course Outcome |
Learning and teaching strategies |
Assessment Strategies |
---|---|---|
On completion of this course, the students will be able to CO141 Analyze decision-making situations in business and tools of decision science CO142 Solve problems of Linear Programming (LP) for optimum allocation of resources using different approaches. CO143 Evaluate the real business problems by applying the knowledge of game theory and Predict the problems of service industry and analyse the concepts related to queuing theory. CO144 Solve the transportation and interpret the cost-effective decision. CO145 analyze the uncertainty and risk situation of business and propose their solution with assignment the decision theory analysis. |
Interactive Lectures, Group Discussion, Tutorials, Reading assignments, Workshops and question preparation
|
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Individual projects |
An Introduction to Operations Research, Definition, Scope of operation research, characteristics, advantages and limitations. Quantitative approach to decision-making, models and modelling in operation research.
Structure of Linear Programme model, Assumptions, Advantages and Limitations. General mathematical formulation model .Graphical and Simplex Solutions of LPP. Primal and Duality in LPP.
Game Theory -Meaning, Theory of game- formulation of game model. Two person zero sum game & their solution, 2 X N and M X 2 games, pure with saddle point, Mix strategies (Graphical and algebraic methods), Limitations of Game theory.
Queuing Theory – meaning, concepts and operating characteristics of Queuing theory, Mathematical Analysis of Queuing Process.
Transportation: General Structure of Transportation problem, methods of finding, methods of finding initial basic feasible solution (NWCM, LCM & VAM), Testing the optimality MODI method.
Cases of unbalanced problems, Degeneracy, Maximization objective, Multiple solutions and Prohibited Routes
Assignment: Assignment problems, Introduction, General structure, problems on minimization & maximization.
Decision Theory: Decision theory- decision under uncertainty- Maxmin & Minmax, decision under Risk- Expected Value, decision tree problems.
SUGGESTED TEXT BOOKS:
SUGGESTED REFERENCE BOOKS:
E-RESOURCES:
REFERENCE JOURNALS: