Graduate School of Business  Alexandria

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Introduction to Operations Research and Linear Programming

  • Graduate School of Business |

Description

This course provides an introduction to the applications of operations research and linear programming. Along with formulation and applications of linear programming problems. This enables a company to interpret linear programming. Also, this course covers all the techniques for programming Models, including graphical techniques and simplex method.

Program

MBA

Objectives

  • By the end of the course, students will be able to:  Know concepts and history of operations research  Interpret problem solving approach in operations research  Formulate linear programming model  Solving linear programming model techniques  Use sensitivity analysis for linear programing model

Textbook

 PM Karak (2020), Linear Programming, New Central Book Agency (P) Ltd.  Michael J. Panik (2019), Linear Programming and Resource Allocation Modeling, John Wiley & Sons, Inc.  Eiselt and Sandblom (2007), Linear Programming and its Applications, Springer-Verlag Berlin Heidelberg.  Robert J. Vanderbei (2008), Linear Programming Foundations and Extensions, Third Edition, Springer.

Course Content

content serial Description
1The Origins and Applications of Operations Research & Introduction to Linear Programming & Motivation and Mathematical Formulation of Linear Programming Problems
2Applications of Linear Programming & Graphical or Geometrical Method of Solving a L.P.P.
3The Simplex Method & Degeneracy
4Efficiency of the Simplex Method & Duality Theory
5Sensitivity and Parametric Analyses & Linear Programming and the Theory of the Firm

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.
Courses
  • Degree Master
  • Code: OMD631
  • Credit hrs: 3
  • Prequisites:
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