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Basic Excel Business Analytics #57: Intro To Linear Programming using Algebra Pencil & Paper

Learners:

Instructor: ExcelIsFun

Duration: 1.00

This course introduces learners to linear programming, a mathematical technique used to solve manufacturing problems. Learners will use linear algebra and the graphing method on paper to maximize contribution margin, given a set of constraints. Parameters, decision variables, and objective functions are discussed, as well as the graphical solution process.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

Paid Certification

Language:

English

Start Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

Intro To Linear Programming. Use Liner Algebra and the Graphing Method on paper to solve Manufacturing problem where we try to maximize contribution Margin give a set of constraints. List parameters (Formula Inputs) and Decision Variables. List Math Model: Objective Function and Constraint Functions: All are Linear Equations/Inequalities. Graph Linear Inequalities. Feasible Region and vertices (extreme points) will yield our Optimal Solution. Summary.
This course provides an introduction to linear programming, a powerful tool used in business analytics. Learners will learn how to use linear algebra and the graphing method on paper to solve manufacturing problems and maximize contribution margins. They will also learn how to list parameters, decision variables, and math models, as well as graph linear inequalities and identify the optimal solution.
Possible development paths for learners include furthering their knowledge of linear programming by taking more advanced courses, or applying their knowledge to real-world business analytics problems. Learners may also pursue a career in business analytics, operations research, or data science.
Learning suggestions for learners include taking courses in linear algebra, calculus, and optimization. Learners should also practice solving linear programming problems and become familiar with software such as Excel and MATLAB. Additionally, learners should read up on the latest developments in the field of business analytics.