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.
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
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
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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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