The course will enable the students to solve linear programming models, simple queuing model, and two-person zero sum games and Network models.
Course | Learning outcome (at course level) | Learning and teaching strategies | Assessment Strategies | |
Course Code | Course Title | |||
24CBDA 511 | Operations Research (Theory)
| CO271. Discuss a deep understanding of the Operations Research and its applications. CO272. Analyse, solve, and optimize transportation problems. CO273. Formulate and solve assignment problems. CO274. Apply PERT-CPM methods, analyse critical paths, and solve sequencing problems in complex network scheduling scenarios. CO275. Solve the real-world problems of game theory. CO276.Contribute effectively in course-specific interaction | Approach in teaching: Interactive Lectures, Discussion, Power Point Presentations, Informative videos, Group Discussions. Learning activities for the students: Self learning assignments, Presentations. | Quiz, case study. Power point presentations, activities. -Personal Branding-Blog Post/Article writing |
Basics definition, scope, objectives, phases, models and limitations of Operations Research. Linear Programming Problem – Formulation of LPP, Graphical solution of LPP. Simplex Method, Artificial variables, big-M method, two-phase method, degeneracy and unbound solutions.
Formulation, solution, unbalanced Transportation problem. Finding basic feasible solutions – Northwest corner rule, least cost method and Vogel’s approximation method. Optimality test by MODI method.
Assignment model. Formulation. Hungarian method for optimal solution. Solving unbalanced problem. Traveling salesman problem and assignment problem.
Network Scheduling by PERT-CPM, Network logical sequencing, Concurrent activities, Critical path analysis, Probability consideration in PERT, Distinction between PERT and CPM. Sequencing models. Solution of Sequencing Problem – Processing n Jobs through 2 Machines, Processing 2 Jobs through m machines, Processing n Jobs through m Machines.
Competitive games, rectangular game, saddle point, minimax (maximin) method of optimal strategies, value of the game. Solution of games with saddle points, dominance principle. Rectangular games without saddle point – mixed strategy for 2 X 2 games.
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