Consider the following LP: Max Z = x1 + x2 s.t. X1 + x2 < 3 X1 – 2x2 >0 X1, X2 2 0 a. Solve the problem graphically: clearly mark each constraint, the feasible region, the iso-profit line and the optimal solution on the graph.

Practical Management Science
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Chapter2: Introduction To Spreadsheet Modeling
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**Problem 2**

Consider the following Linear Programming (LP) problem:

Maximize \( Z = x_1 + x_2 \)

Subject to:
- \( x_1 + x_2 \leq 3 \)
- \( x_1 - 2x_2 \geq 0 \)
- \( x_1, x_2 \geq 0 \)

a. Solve the problem graphically: clearly mark each constraint, the feasible region, the iso-profit line, and the optimal solution on the graph.

**Graph Explanation:**

- The graph is a standard coordinate plane divided into a grid for plotting points.
- Plot each constraint line: 
  - \( x_1 + x_2 = 3 \) as a straight line with intercepts at (3,0) and (0,3).
  - \( x_1 = 2x_2 \) as a line through the origin (0,0) with a slope of 1/2.
  - The axes \( x_1 = 0 \) and \( x_2 = 0 \) represent the non-negativity constraints.
- Shade the feasible region determined by these constraints.
- Draw an iso-profit line parallel to \( x_1 + x_2 = Z \), moving outward to identify the optimal point.
- Mark the optimal solution on the graph where the iso-profit line is tangent to the feasible region.
Transcribed Image Text:**Problem 2** Consider the following Linear Programming (LP) problem: Maximize \( Z = x_1 + x_2 \) Subject to: - \( x_1 + x_2 \leq 3 \) - \( x_1 - 2x_2 \geq 0 \) - \( x_1, x_2 \geq 0 \) a. Solve the problem graphically: clearly mark each constraint, the feasible region, the iso-profit line, and the optimal solution on the graph. **Graph Explanation:** - The graph is a standard coordinate plane divided into a grid for plotting points. - Plot each constraint line: - \( x_1 + x_2 = 3 \) as a straight line with intercepts at (3,0) and (0,3). - \( x_1 = 2x_2 \) as a line through the origin (0,0) with a slope of 1/2. - The axes \( x_1 = 0 \) and \( x_2 = 0 \) represent the non-negativity constraints. - Shade the feasible region determined by these constraints. - Draw an iso-profit line parallel to \( x_1 + x_2 = Z \), moving outward to identify the optimal point. - Mark the optimal solution on the graph where the iso-profit line is tangent to the feasible region.
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