Answer :
To solve the problem of maximizing the revenue function [tex]\(R(x, y) = 62x + 68y\)[/tex] subject to the given constraints, we need to break down each step carefully:
### Step-by-Step Solution:
1. Identify the Objective Function:
Your objective is to maximize the revenue [tex]\(R(x, y)\)[/tex], which is given by:
[tex]\[ R(x, y) = 62x + 68y \][/tex]
where [tex]\(x\)[/tex] is the number of standard models sold and [tex]\(y\)[/tex] is the number of deluxe models sold.
2. List the Constraints:
You have several constraints to consider:
- The total work hours for the workers:
[tex]\[ 3x + 4y \leq 460 \][/tex]
- The minimum work hours required:
[tex]\[ 3x + 4y \geq 360 \][/tex]
This can be rewritten as:
[tex]\[ -3x - 4y \leq -360 \][/tex]
- The budget constraint on parts:
[tex]\[ 2x + y \leq 190 \][/tex]
- Non-negativity of the number of phones produced:
[tex]\[ x \geq 0, \quad y \geq 0 \][/tex]
3. Set Up the Linear Programming Problem:
To use the Linear Programming method, we need the constraints and the objective function:
- Maximize: [tex]\(62x + 68y\)[/tex]
- Subject to:
[tex]\[ \begin{aligned} 3x + 4y &\leq 460 \\ -3x - 4y &\leq -360 \\ 2x + y &\leq 190 \\ x &\geq 0 \\ y &\geq 0 \end{aligned} \][/tex]
4. Solve the Linear Programming Problem:
Using the simplex method or another linear programming solver, we solve the system of inequalities to find the values of [tex]\(x\)[/tex] and [tex]\(y\)[/tex] that maximize the revenue function.
5. Extract the Solution:
The optimal solution to the problem is:
[tex]\[ x = 60, \quad y = 70 \][/tex]
6. Calculate the Maximum Revenue:
Substitute the values of [tex]\(x\)[/tex] and [tex]\(y\)[/tex] back into the revenue function:
[tex]\[ R(60, 70) = 62(60) + 68(70) \][/tex]
Calculate the products and sum them up:
[tex]\[ R = 62 \times 60 + 68 \times 70 = 3720 + 4760 = 8480 \][/tex]
### Conclusion:
The maximum revenue that can be achieved under the given conditions is [tex]\(\$8480\)[/tex] by producing and selling [tex]\(60\)[/tex] standard models and [tex]\(70\)[/tex] deluxe models.
### Step-by-Step Solution:
1. Identify the Objective Function:
Your objective is to maximize the revenue [tex]\(R(x, y)\)[/tex], which is given by:
[tex]\[ R(x, y) = 62x + 68y \][/tex]
where [tex]\(x\)[/tex] is the number of standard models sold and [tex]\(y\)[/tex] is the number of deluxe models sold.
2. List the Constraints:
You have several constraints to consider:
- The total work hours for the workers:
[tex]\[ 3x + 4y \leq 460 \][/tex]
- The minimum work hours required:
[tex]\[ 3x + 4y \geq 360 \][/tex]
This can be rewritten as:
[tex]\[ -3x - 4y \leq -360 \][/tex]
- The budget constraint on parts:
[tex]\[ 2x + y \leq 190 \][/tex]
- Non-negativity of the number of phones produced:
[tex]\[ x \geq 0, \quad y \geq 0 \][/tex]
3. Set Up the Linear Programming Problem:
To use the Linear Programming method, we need the constraints and the objective function:
- Maximize: [tex]\(62x + 68y\)[/tex]
- Subject to:
[tex]\[ \begin{aligned} 3x + 4y &\leq 460 \\ -3x - 4y &\leq -360 \\ 2x + y &\leq 190 \\ x &\geq 0 \\ y &\geq 0 \end{aligned} \][/tex]
4. Solve the Linear Programming Problem:
Using the simplex method or another linear programming solver, we solve the system of inequalities to find the values of [tex]\(x\)[/tex] and [tex]\(y\)[/tex] that maximize the revenue function.
5. Extract the Solution:
The optimal solution to the problem is:
[tex]\[ x = 60, \quad y = 70 \][/tex]
6. Calculate the Maximum Revenue:
Substitute the values of [tex]\(x\)[/tex] and [tex]\(y\)[/tex] back into the revenue function:
[tex]\[ R(60, 70) = 62(60) + 68(70) \][/tex]
Calculate the products and sum them up:
[tex]\[ R = 62 \times 60 + 68 \times 70 = 3720 + 4760 = 8480 \][/tex]
### Conclusion:
The maximum revenue that can be achieved under the given conditions is [tex]\(\$8480\)[/tex] by producing and selling [tex]\(60\)[/tex] standard models and [tex]\(70\)[/tex] deluxe models.