Advance Operations Research

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ADVANCE OPERATIONS RESEARCH 2744602
FREE PDF 2744602
Code: 2744602 Credits: 4 Semester 4 M(E

Advance Operations Research

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Advance Operations Research Syllabus — Unit-wise Content

The official GTU curriculum for Advance Operations Research (subject code 2744602) as prescribed for M(E · Semester 4 divides the course into 11 units, covering 49 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (2744602)

Unit 1 General concepts

2 lecture hours

  • OR Models
  • OR Techniques and phases of implementing OR in practice

Unit 2 Linear Programming Model

8 lecture hours

  • Formulation of mathematical models
  • Solution of linear programming problems involving product mix, resource allocation
  • transportation and assignment by graphical
  • simplex and dual simplex methods
  • Duality theorem and applications and Sensitivity analysis

Unit 3 Transportation Problems

4 lecture hours

  • General Concepts
  • Formulation of TT problems and LP formulation of TT Problems
  • Solution Methods: North West Corner Method
  • Least Cost Method
  • Vogels Approximation Method
  • Optimality Tests: Stepping Stone Method and Modified Distribution method
  • Balanced/Unbalanced transportation problem

Unit 4 Assignment Problems

4 lecture hours

  • General Concepts
  • Assumptions & Limitations
  • Formulation and solution of assignment problem
  • Special Issues: Restricted routes/Multiple Optimal Solutions

Unit 5 Network Analysis

4 lecture hours

  • Introduction to Network
  • Minimum spanning tree algorithm
  • Shortest path problem
  • Maximal flow problem

Unit 6 Project Management

4 lecture hours

  • Applications of Networks
  • Types of Networks: Critical Path Method and Programme Evaluation Review Technique
  • Estimation of Project completion time
  • Project Cost Analysis: Crashing
  • Project cost time trade- off, Resource allocation techniques

Unit 7 Queuing Model

3 lecture hours

  • Queuing theory notation and assumptions
  • Poisson’s queuing models

Unit 8 Games theory

4 lecture hours

  • Two-person zero-sum games
  • The Maximin -Minimax principle
  • Games without saddle points - Mixed Strategies
  • 2xn and mx2 Games -Dominance property
  • Algebraic solutions to rectangular games
  • Graphical solution

Unit 9 Integer programming

4 lecture hours

  • Graphical representation
  • Gomory's cutting plane method
  • Branch-and-bound method
  • Travelling salesman problem
  • Cargo loading problem

Unit 10 Non linear programming

3 lecture hours

  • Single variable optimization Introduction
  • Kuhn-Tucker conditions
  • Quadratic programming
  • Separable programming

Unit 11 Special topics

5 lecture hours

  • Analytic Hierarchy Process for Decision Making
  • Extreme Difference Method
  • Generalized Transportation Problem
  • Generalized Assignment Problem
  • Multi-objective Transportation Problem

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