This course will enable the students to -
Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24DMAT 601(B) |
Operations Research(Theory)
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CO78: Identify and formulate real-world problems as mathematical models suitable for optimization and technique to solve it. CO79: Describe the applications of linear programming problems like transportation, Assignment problems etc. CO80: Explain the concepts of game theory and discuss different types of methods to find solutions. CO81: Investigate how inventory management provides the desired level of customer service, to allow cost-efficient operations and to minimize the inventory investment. CO82: Compute the knowledge of queueing theory in real life problems like hospital management, Banking, Telecommunication etc. CO83: Contribute effectively in course-specific interaction. |
Approach in teaching: Interactive Lectures, Discussion, Power Point Presentations, Informative videos
Learning activities for the students: Self learning assignments, Effective questions, presentations, Assigned tasks
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Quiz, class test, Individual and group task, Continuous assessment, Semester End Examination
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Introduction, Objective of Operation Research, Scope of Operation Research, General L.P.P.: Formulation of the problem, Graphical method, Simplex Method, Big M method, Two-phase method.
Duality in L.P.P., Transportation problem: Optimality test, Degeneracy in transportation problem, unbalanced transportation problem, Assignment problem.
Introduction, Description and characteristics of game theory, Two-person zero sum game, Solution of mixed strategy problems, Principle of dominance, Solution of mix game by linear programming method.
Introduction, EOQ models with and without shortages.
Definition, Pure birth model, Pure death model, Single server model with finite and infinite capacity.
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