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Operations Research
Rating: 4.0 out of 5(38 ratings)
166 students

Operations Research

For Engineers, Data analysts, and Business Leaders
Created byDr. Rauf Tailony
Last updated 3/2020
English

What you'll learn

  • Linear programming
  • Mathematical Modeling
  • Business Cost Optimization
  • Methods for Maximizing Profit and Minimizing Cost
  • Cost Sensitivity Analysis
  • Network and Transportation optimization

Course content

4 sections • 13 lectures • 2h 41m total length

  • Introduction to Model Building15:18
  • Model Types15:01
  • Introduction to Linear Programming7:20

    Learn the basics of linear programming (LP) as a tool for maximizing or minimizing linear objective functions under linear constraints, with the simplex method and real-world applications across industries.

Requirements

  • Basic Linear Algebra

Description

The course is focused on the application of linear programming techniques. Most of the mathematical models presented in the course are  The course includes discussions of the simplex algorithm and other methods to derive solutions for the above models. The Excel Solver software is also used in the course to solve linear programming problems. Discussions (Sensitivity Analysis) are included as to how changes or variations in a linear programming’s parameters affect the optimal solution.

Who this course is for:

  • Students of Mathematics, Engineering, and Business
  • Operations Engineers
  • Production leaders
  • Business Analysts
  • Business Office Executives

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