**Linear Programming** is one of the most interesting features of applied mathematics. We can solve linear programming through Excel. But Excel has no built-in function or feature to perform this. There are two ways to perform linear programming in Excel, and we will discuss them in detail here.

**What Is Linear Programming?**

Linear programming is a mathematical term. It is a kind of modeling technique that can achieve the maximum profit or the minimum cost based on the relationships of a linear function. It is also called mathematical optimization.

**Introduction to Linear Programming Terms**

We will discuss some basic terms of linear programming.

**Decision Table:** This table consists of some variables to determine the optimum solution to the problem.

**Constraints**: Those are the conditions imposed on the linear function to get the solutions.

**Objective function:** This function contains our objective. It is specified as quantitative.

**Linearity: **The relation between the variable must be linear.

**Finiteness: **The solution of all the variables must be finite.

**Optimal Solution**: This is the optimal point of our objective function. From this, we get the values of the variables.

**How to Do Linear Programming in Excel: 2 Suitable Ways**

There are two ways to do linear programming on Excel. One is by using the graph, and another one is by using an Excel add-in. We will discuss both methods in detail in the next sections.

Suppose, we have the following objective function along with two constraints:

**Function: **

**A=8X+10Y**

**Constraints:**

**2X+4Y<=72** and

**4X+2Y<=48**

**1. Plot Graph to Do Linear Programming**

Apply the following steps to solve the linear programming problem by plotting graph.

**ðŸ“Œ ****Steps:**

- First, we separate the coefficients of variables.

- Now, we will find out the value of
**2 variables**considering the value of one variable**0 (Zero)**. See for the**1st**Â constraint.

When **X** is **36, Y** becomes **0**, and when **Y** is **0**, **X** becomes **18**.

Similarly, apply this to the **2nd** constraint. Here, **X=12** when **Y=0** and **Y=24** when **X=0**.

- Similarly, apply this to the
**2ndÂ**constraint.

Here, **X=12** when **Y=0** and **Y=24** when **X=0**.

- Now, select the value from the
**1stÂ**constraint. - Click on the
**InsertÂ**tab. - Choose the desired
**Scatter Chart**from the**ChartÂ**group.

- We will see a graph based on the selection.

- Now, keep the cursor on the chart and press the right button of the mouse.
- Choose
**Select Data**from the**Context Menu**.

- The
**Select Data Source**window appears. - Our input data is named
**Series1**. - We want to change the name.
- Select
**Series1**and click on the**EditÂ**option.

- Put name
**C1**on the**Series nameÂ**box. - After that, press
**OK**.

Values of the **X** and **Y** are taken from our selection.

- Now, we will add another source as we have another constraint.
- Click on the
**AddÂ**button.

- Now, we will add another source as we have another constraint.
- Click on the
**AddÂ**button. - The
**Edit series**window appears. - Put a name, and range for the values of
**X**and**YÂ**variables. - Again, press
**OK**.

- Again, press
**OK**on the next window.

- Look at the graph now.

We have named the edge points.

- Based on the edge points, we form a new dataset table.

We will now find out the position of the intersecting point using a formula. That is point **C**.

- Put the following formula on
**Cell E15**.

`=MMULT(MINVERSE(C6:D7),F6:F7)`

- Press the
**Enter**We get the value of both**X**and**Y**coordinates.

- Now, we will find out the optimal value using the formula below.

`=C15*$C$5+C16*$D$5`

- Press
**Enter**and drag the**Fill Handle**to the right side.

We get different values of function **A** for different values of the variables.

At point **C**, we get the maximum value of **A** is **192,** where **X**=**4** and **Y**=**16**.

Read More: How to Graph Linear Programming in Excel (with Detailed Steps)

**2. Linear Programming with Excel Add-In**

In this section, we will use an **Add-in** named **Solver **for this linear system.

**ðŸ“Œ ****Steps:**

- First, we separate the coefficients in the following table.

- Now, go to
**Cell E6**and put the following formula.

`=($C$5*C6)+($D$5*D6)`

This formula will determine the result of function **A**.

- Look at the dataset.

As **C5** and **D5** are blank, the result is **0** (**zero**). We will expand the formula on **Range E7:E8**.

- Now, go to
**File >> Options >> Add-ins**. - Select the
**Solver Add-in**from the list. - Then, press
**Go**. - Check
**Solver Add-in**and then press**OK**.

- Now, click on
**Cell E6**. - Click on the
**DataÂ**tab. - Then, click on the
**SolverÂ**option.

- The
**Solver Parameters**window appears. - Input objects are marked on the image below.
**Set Objective**is the cell we will apply the**Solver**.- We want to get the maximum value, so check the
**Max**option. Other options are also available. - Then, press the
**AddÂ**button.

- We consider those values are equal to or greater than
**0**. This indicated the value of**X**and**Y**. - Again, press
**Add**to add other constraints.

- This is for the given constraints value input.
- Finally, press
**OK**.

- Both constraints are shown here.
- Now, click on
**SolveÂ**button.

- We get the values of the variable and the function
**A**.

Read More: How to Use Excel Solver for Linear Programming (With Easy Steps)

**Download Practice Workbook**

Download the following practice workbook to exercise while you are reading this article.

**Conclusion**

In this article, we described how to do linear programming in Excel. We showed two methods graph and add-in with p[roper explanations. I hope this will satisfy your needs.

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