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This is a linear programming problem that involves minimizing the objective function \( z = 3x + 8y \) subject to a set of constraints:

\[
\begin{aligned}
x - y &\geq 1 \\
3x + 2y &\geq 18 \\
x &\geq 0, \quad y \geq 0
\end{aligned}
\]

### Steps to solve graphically:

1. **Graph the constraints**:
   - Convert the inequalities into equations and graph their boundary lines:
     - \( x - y = 1 \) (rearrange as \( y = x - 1 \))
     - \( 3x + 2y = 18 \) (rearrange as \( y = \frac{18 - 3x}{2} \))
     - \( x \geq 0 \) (the vertical axis) and \( y \geq 0 \) (the horizontal axis)

2. **Identify the feasible region**:
   - The feasible region is where all the inequalities hold true. It's the region where the shaded areas of the constraints overlap.
   - Each constraint divides the plane into two regions, and the feasible region will be on the side of each line that satisfies the inequality.

3. **Find the corner points (vertices)** of the feasible region.
   - These are where the boundary lines intersect.
   - The corner points are potential candidates for the optimal solution since, in linear programming, the optimal value of the objective function occurs at a vertex of the feasible region.

4. **Evaluate the objective function \( z = 3x + 8y \) at each vertex**.
   - Calculate \( z \) for each vertex to find the minimum value.

### Let's break down the constraints:
- The line \( y = x - 1 \) has a slope of 1 and intersects the y-axis at \( y = -1 \). However, for this region, we will only consider \( y \geq 0 \).
- The line \( y = \frac{18 - 3x}{2} \) has a slope of -1.5 and intersects the y-axis at \( y = 9 \).

By graphing these and identifying the feasible region, you can then determine the vertices and evaluate \( z \).

Would you like to proceed with a detailed step-by-step graph analysis, or do you have any specific questions about the process?

### Related Questions:
1. How do you calculate the intersection points of the constraint lines?
2. What is the importance of corner points in linear programming?
3. How does changing the objective function coefficients impact the solution?
4. Can a linear programming problem have more than one optimal solution?
5. What happens if the feasible region is unbounded?

#### Tip:
For linear programming problems, always ensure that your feasible region is properly identified, as the solution lies within this area.

Minimize z = 3x + 8y subject to: x - y ≥ 1, 3x + 2y ≥ 18, x ≥ 0, y ≥ 0

Solve a linear programming problem graphically by minimizing z = 3x + 8y with constraints x - y ≥ 1, 3x + 2y ≥ 18, and x, y ≥ 0. Learn about the graphical method, inequalities, and how to find the feasible region.

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