Operation Research

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Operation Research

What You Will Learn!

  • Define the role of operation research in engineering applications
  • Formulate different optimization problems into a mathematical model and solve them such as Linear Programming, Transportation model, Assignment method
  • Model a real case problems and development of optimal solution using CPM/PERT techniques
  • Demonstrate proficiency in using software packages relevant to operation research

Description

Introduction to operations research models; Linear programming; Transportation; Assignment; CPM/MSPT techniques and their applications; Construction of models appropriate to particular applications; Development of optimal solutions; Introduction to advanced analytic techniques; Computer packages for problem solving.

Provide students with a knowledge that can make them appreciate the use of various research operations tools in decision making in industrial organ

Topics

1- Introduction to operations research models

2- Linear programming

3- Transportation and Assignment

4- CPM/PERT techniques and their applications

5- Construction of models appropriate to particular applications and Development of optimal solutions

6- Introduction to advanced analytic techniques

7-  Computer packages for problem solving

Learning Resources

1- Introduction To Operations Research by Fredrick S. Hiller and Gerald J. Lieberman, McGraw Hill, 9th Ed., 2005

2- Operations Research: A Practical Introduction, by Michael W. Carter, Camille C. Price, CRC Press, 2005

Introduction to operations research models; Linear programming; Transportation; Assignment; CPM/MSPT techniques and their applications; Construction of models appropriate to particular applications; Development of optimal solutions; Introduction to advanced analytic techniques; Computer packages for problem solving.

Introduction to operations research models; Linear programming; Transportation; Assignment; CPM/MSPT techniques and their applications; Construction of models appropriate to particular applications; Development of optimal solutions; Introduction to advanced analytic techniques; Computer packages for problem solving.

Who Should Attend!

  • Beginers

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Tags

Subscribers

20

Lectures

44

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