Operations Research is a multidisciplinary field that applies analytical methods to help make better management decisions. It is often called the “science of the better” because it focuses on optimising processes, resource allocation, and decision-making to achieve optimal solutions. The course helps solve complex real-world problems using mathematics and domain-specific knowledge.Operations Research bridges the gap between theory and application, enabling systematic and evidence-based decision-making in various domains. It helps organisations deal with complexities, reduce costs, improve productivity, and gain a competitive edge. Its practical and quantitative approach makes it an essential tool for decision-makers.
Syllabus 12
Week 1
Lecture 01: OR - Introduction
Lecture 02: OR and Systems Approach
Lecture 03: Mathematical Modelling Process & Linear Programming
Lecture 04: Linear Programming - Problem Formulation
Lecture 05: Linear Programming - Problem Formulation
Week 2
Lecture 06 : Linear Programming – Graphical Solution I
Lecture 07 : Linear Programming – Graphical Solution II
Lecture 08 : Linear Program in Standard form
Lecture 09 : Linear Programming – Simplex Method I
Lecture 10 : Linear Programming – Simplex Method II
Week 3
Lecture 11: Linear Programming – Simplex Method
Lecture 12: Big-M Simplex Method
Lecture 13: Big_M_Practice Problems
Lecture 14: Two-Phase Simplex Method
Lecture 15: Two-Phase_Practice Problems
Week 4
Lecture 16 : Revised Simplex Method I
Lecture 17: : Revised Simplex Method II
Lecture 18 : Duality Theory
Lecture 19 : Dual Simplex Method
Lecture 20 : Practice Problems
Week 5
Lecture 21: Sensitivity Analysis
Lecture 22: Sensitivity Analysis II
Lecture 23: Sensitivity Analysis Practice Problems
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