The objective of this course is to acquaint the students with the use of operational research techniques in decision-making.
COURSE OUTCOMES (COs):
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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ATG 416 |
Operations Research |
CO143:Discriminate the characteristics of different types of decision-making environments and the appropriate decision-making approaches and tools to be used in each type. CO144:Formulate the mathematical tools that are needed to solve optimization problems. CO145:Students will designand solve transportation and assignment models. CO146:Persuade the best strategy using decision making methods under uncertainty and game theory. CO147:Design new simple models, like: CPM, PERT to improve decision –making and develop critical thinking and objective analysis of decision problems.
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Approach in teaching: Interactive Lectures, Discussion, Tutorials, Team teaching
Learning activities for the students: Self learning assignments, Effective questions, Seminar presentation, Giving tasks. |
Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects
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Basic Concepts and Definitions, merits and demerits, Techniques of operations research, role of operations research, application areas of operations research
Linear Programming: Mathematical formulation of Linear Programming problems and their solution using Graphic approach and Simplex method, Duality.
Meaning, definition, Solving the problem. unbalanced problems, prohibited route, Maximization objective.
Assignment: Solving the problem. Cases of unbalanced problems, multiple optimum solutions, maximization objective , Prohibited Route.
Network with one estimate of time. Networks with three estimates of time. Time-cost trade-off. Probability consideration under PERT
Games of Pure strategy, Games of Mixed strategy, Law of Dominance, Sub Game
Queuing Theory: Elements of Queuing theory, Single Channel Queuing Problem.
Maximin, Minimax, and Maximax expected pay off and regret, Expected value of Perfect Information, Decision Tree Analysis.
Monte Karlo Simulation Model- Concept and steps.
Note- The candidate shall be permitted to use battery operated pocket calculator that should not have more than 12 digits, 6 functions and 2 memories and should be noiseless and cordless