Linear optimization is one of the key topics of statistics. We can perform predictive analysis using the variables’ available data. In the following article, with easy steps, we will show to you how you can solve a **linear optimization model in Excel**.

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## Download Practice Workbook

You can download the **Excel file** and practice while you are reading this article.

## What Is Linear Optimization?

In a mathematical model, **linear optimization** is a technique to get the optimal result, such as the highest profit or the lowest price. The requirements for linear optimization are represented by linear relationships. All types of linear optimization models include some main factors. They are given below:

**Decision Variables:**We determine the decision variables that minimize or maximize the objective function.**Objective Function:**This is a function that helps us to determine the decision variables. It expresses the relation between the result and the variables.**Constraints:**Constraints are also functions that denote different conditions on possible solutions.

## 4 Easy Steps to Solve Linear Optimization Model in Excel

Suppose, we have two types of machine, **Machine A a**nd** Machine B**. The **Profit Per Unit** of **Machine A** is** $8** and for** Machine B** is** $10**. Here, **Time to Get Raw Materials** for **Machine A** is **2** hours, and for** Machine B** is **4** hours. Along with that, Time for Making **Machine A** is **4** hours, and** Machine B** is** 2** hours. If we have a total of **72 hours** to **Get Raw Materials** and a total of **48 hours** for making, then what are the** maximum** number of **Machine A** and** Machine B** that can be produced to make the **maximum profit**?

In the following article, we will describe **4** easy steps to solve the above **linear optimization models in Excel**. Here, we used **Excel 365**. You can use any available Excel version.

### Step-1: Analyzing the Question

Here, according to the given problem, we have made the following dataset. Next, we will find the optimum** Machine A** number in cell **C5**, and the optimum **Machine B** number in cell **D5**.

Along with that, we will find the maximum **Total Profit **in cell** E7**.

Now, let us describe the problem thoroughly. We have presented the following data table for this.

**Decision Variables:**

- We take
**X**as the number of**Machine A**to make. - We take
**Y**as the number of**Machine B**to make. - The question asks us to find out the maximum number of
**X**and**Y**.

**Note:** Here, we display X and Y in the dataset so that you understand the problem. However, while performing calculations, we will get rid of these variables and will keep the cell empty.

**Objective Function:**

- Here, we have to maximize the
**Total Profit**. - Therefore, Objective function
**Z= (unit cost for Machine A times X)+(unit cost for Machine B times Y)**. - That can be written as
**Z=(8*X)+(10*Y)**.

**Constraints:**

- Here, we have
**2**constraints. - For the first constraint, we can write
**P=(2*X)+(4*Y)**in cell**E10**. - And for the second contrast, we can write
**Q=(4*X)+(2*Y)**in cell**E11**. - Next, we will use the Solver tool to find out
**X**,**Y**,**Z**,**P,**and**Q**.

*Also, we will show you the actual numerical calculation in the following article.*

**Read More: ****Excel Optimization with Constraints (3 Case Scenarios)**

### Step-2: Adding Solver Tool

By default, the** Solver** tool is not enabled in Excel. Therefore, we have to enable the **Solver** tool to solve the** linear optimization model in Excel**.

- In the beginning, we will go to the
**File**tab.

- After that, select
**Options**.

- At this point, an
**Add-ins**dialog box will appear. - Then, from
**Add-ins**>> select**Go**.

- Then, we will mark
**Solver Add-ins**>> click**OK**.

- Therefore, you can see the
**Solver**tool in the**Data**tab.

**Read More: ****How to Make Price Optimization Models in Excel (with Easy Steps)**

### Step-3: Setting Formula in Optimization Model

In this step, we will set formulas in the optimization model. We have already discussed these formulas in **Step-1**. Now, we will show you the actual calculation of the formulas.

- In the beginning, we will type the following formula in cell
**E7**to set the**Objective**.

`=($C$5*C7)+($D$5*D7)`

- This formula simply makes a relation between the
**Number to Make**and**Cost Per Unit**.

- After that, press
**ENTER**. - Since cells
**C5**and**D5**have no values, the formula returns**0**in cell**E7**. *However, after using***Solver**, we will get a definite value in cell**E7**.

- Next, we will set the formula for the
**Constraints**. - Afterward, we will type the following formula in cell
**E10**.

`=($C$5*C10)+($D$5*D10)`

- This formula simply creates a relation between the
**Number to Make**and**Time to Get Raw Materials****(hour)**.

- After that, press
**ENTER**. - Therefore, you can see the result in cell
**E10**. - Further, we will
**drag down**the formula with a**Fill Handle tool**.

- Therefore, you can see cells
**E10:E11**has**0**values in them. - Further, we will use the
**Solver**tool to find out the values in these cells.

### Step-4: Using Solver Tool to Solve Linear Optimization Model

In this step, we will use the **Solver** tool to solve the **linear optimization model**.

- In the first place, we will go to the
**Data**Tab >> select**Solver**.

- At this point, a
**Solver Parameters**dialog box will appear. - Then, in the
**Set Objective**box, we will select cell**E7**. - Afterward, since we want to maximize the profit, we will select
**Max**. - After that, in the
**By Changing Variables Cells**box >> we will select cells**C5:D5**. - Along with that, we will click on
**Add**.

- At this moment, an
**Add Constraint**dialog box will pop up. - Then, select cells
**C5:D5**in the**Cell Reference**box. - Along with that, we will select
**>=**in the next box. - Moreover, in the
**Constraint**box >> select**0**. - This is because none of the variables are less than
**0**. - Furthermore, click on
**Add**.

- This will also bring an
**Add Constraint**dialog box. - Then, we will select cells
**E5:E11**in the**Cell Reference**box. - Along with that, we will select
**<=**in the next box. - Moreover, in the
**Constraint**box >> we will select cells**G10:G11**. - Afterward, click
**OK**.

- At this point, make sure to mark the
**Make Unconstrained Variables Non-Negative**box. - Furthermore, from the
**Select a Solving Methods**>> select**Simplex LP**. - Additionally, click
**Solve**.

- Then, a
**Solver Results**dialog box will pop up. - Here, make sure to mark the
**Keep Solver Solution**box. - Then, click
**OK**.

- Therefore, you can see the optimum
**Machine A**number in cell**C5**, and the optimum**Machine B**number in cell**D5**. - Along with that, you can see the maximum
**Total Profit**in cell**E7**.

## Things to Remember

- The “
**Solver**” feature is not enabled by default. Therefore, we must enable it to perform the task. - We must set the objective cell.
- We must set the constraints to perform the task.

## Practice Section

You can download the above** Excel **file to practice the explained method.

## Conclusion

Here, we tried to show you** 4** easy steps for a **linear optimization model in Excel**. Thank you for reading this article, we hope this was helpful. If you have any queries or suggestions, please let us know in the comment section below. Please visit our website **Exceldemy** to explore more.