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Models of Operations Research
Course Objectives:
This course will enable the students to-
The objective of this course is to acquaint the students with the use of operations research techniques in decision-making
Course Outcomes (COs):
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Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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ABF 401 |
Models of Operations Research |
CLO79 Be able to understand the characteristics of different types of decision-making environments and the appropriate decision making approaches and tools to be used in each type.
CLO80 Understand the mathematical tools that are needed to solve optimization problems.
CLO81 Be able to build and solve Transportation Models and Assignment Models.
CLO82 Propose the best strategy using decision making methods under uncertainty and game theory.
CLO83 Be able to design new simple models, like: CPM, PERT to improve decision –making and develop critical thinking and objective analysis of decision problems. |
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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Operations Research: 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.
Transportation: Solving the problem. Testing the optimality using MODI method. Cases of unbalanced problems, Degeneracy, Maximization objective.
Assignment: Solving the problem, Cases of unbalanced problems, multiple optimum solutions, maximization objective.
PERT/CPM: Network with one estimate of time, Networks with three estimates of time, Time-cost trade-off, Probability consideration under PERT.
Game Theory: Games of Pure strategy, Games of Mixed strategy, Law of Dominance, Sub Game method.
Queuing Theory: Meaning, features, elements of queuing theory, queuing system, Single Channel Queuing Problem.
Decision Theory: Maximin, Minimax, and Maximax expected pay off and regret, Expected value of Perfect Information.
Simulation- Meaning, Phases and Applications. Monte-Carlo Method – Concept & Steps.
1. Quantitative Methods- N.K Nag (Kalyani Publishers)
2. Operational Research-Mathur, Khandelwal Gupta,Gupta (Ajmera Book Company)
3. Operational Research-V.K Kapoor (Sultan Chand)
1. Operational Research-Prof N.P.Agarwal (Ramesh Book Depot)
2. Quantitative Techniques- C.R Kothari (Vikas Publishing House Pvt Ltd)
3. Vohra N.D, Quantitative Techniques in Management, (Tata McGraw Hill New Delhi )
4. Taha, Hamady A, Operational Research- An Introduction, Prentice Hall of India
