Operations Research

Operations Research, available at $39.99, has an average rating of 4, with 13 lectures, based on 32 reviews, and has 142 subscribers.

You will learn about Linear programming Mathematical Modeling Business Cost Optimization Methods for Maximizing Profit and Minimizing Cost Cost Sensitivity Analysis Network and Transportation optimization This course is ideal for individuals who are Students of Mathematics, Engineering, and Business or Operations Engineers or Production leaders or Business Analysts or Business Office Executives It is particularly useful for Students of Mathematics, Engineering, and Business or Operations Engineers or Production leaders or Business Analysts or Business Office Executives.

Enroll now: Operations Research

Summary

Title: Operations Research

Price: $39.99

Average Rating: 4

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Model Building

Lecture 2: Model Types

Lecture 3: Introduction to Linear Programming

Chapter 2: Linear Programming

Lecture 1: A linear Programming Problem

Lecture 2: Feasible Region and Optimal Solution [Graphical Solution]

Lecture 3: Maximize/Minimize Feasible region

Lecture 4: Graphical linear programming problem

Lecture 5: Optimal Solution and Corner Points

Lecture 6: Using Tools to Quickly Draw Feasible Region

Lecture 7: Linear programming Optimization Using Excel Solver

Lecture 8: Simplex Method

Chapter 3: Sensitivity Analysis

Lecture 1: Sensitivity analysis

Chapter 4: Network Models

Lecture 1: Network Models

Instructors

Dr. Rauf Tailony
Ph.D. in Mechanical Engineering

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 10 votes
4 stars: 9 votes
5 stars: 8 votes

Frequently Asked Questions

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