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Max Z = 4x1 − 2x2 Subject to: x1 + x2 <= 14, 5x1 + 2x2 >= 36, 8x1 + 2x2 >= 24, x1 + 10x2 >= 0

Mathematics

ScanSolve AI Answer

Answer

56\text{56}

Step-by-step solution

5 steps

Here's how to solve the linear programming problem using the graphical method:

The problem is:
Maximize Z=4x1−2x2Z = 4x_1 - 2x_2
Subject to:

  1. x1+x2≤14x_1 + x_2 \le 14
  2. 5x1+2x2≥365x_1 + 2x_2 \ge 36
  3. 8x1+2x2≥24  ⟹  4x1+x2≥128x_1 + 2x_2 \ge 24 \implies 4x_1 + x_2 \ge 12
  4. x1≥0,x2≥0x_1 \ge 0, x_2 \ge 0 (Non-negativity constraints)
  1. Plot the boundary lines for each constraint.

    To do this, we treat each inequality as an equality and find two points on the line.

    • For x1+x2=14x_1 + x_2 = 14:

      • If x1=0x_1 = 0, then x2=14x_2 = 14. Point: (0,14)(0, 14)
      • If x2=0x_2 = 0, then x1=14x_1 = 14. Point: (14,0)(14, 0)
    • For 5x1+2x2=365x_1 + 2x_2 = 36:

      • If x1=0x_1 = 0, then 2x2=36  ⟹  x2=182x_2 = 36 \implies x_2 = 18. Point: (0,18)(0, 18)
      • If x2=0x_2 = 0, then 5x1=36  ⟹  x1=365=7.25x_1 = 36 \implies x_1 = \frac{36}{5} = 7.2. Point: (7.2,0)(7.2, 0)
    • For 4x1+x2=124x_1 + x_2 = 12:

      • If x1=0x_1 = 0, then x2=12x_2 = 12. Point: (0,12)(0, 12)
      • If x2=0x_2 = 0, then 4x1=12  ⟹  x1=34x_1 = 12 \implies x_1 = 3. Point: (3,0)(3, 0)
  2. Determine the feasible region.

    We use the inequality signs to determine the correct side of each line.

    • x1+x2≤14x_1 + x_2 \le 14: The region below or to the left of the line x1+x2=14x_1 + x_2 = 14. (Test (0,0)(0,0): 0+0≤140+0 \le 14, True)
    • 5x1+2x2≥365x_1 + 2x_2 \ge 36: The region above or to the right of the line 5x1+2x2=365x_1 + 2x_2 = 36. (Test (0,0)(0,0): 0+0≥360+0 \ge 36, False)
    • 4x1+x2≥124x_1 + x_2 \ge 12: The region above or to the right of the line 4x1+x2=124x_1 + x_2 = 12. (Test (0,0)(0,0): 0+0≥120+0 \ge 12, False)
    • x1≥0,x2≥0x_1 \ge 0, x_2 \ge 0: The first quadrant.

    Upon plotting, we observe that the constraint 4x1+x2≥124x_1 + x_2 \ge 12 is redundant because any point satisfying 5x1+2x2≥365x_1 + 2x_2 \ge 36 and x1≥0,x2≥0x_1 \ge 0, x_2 \ge 0 will also satisfy 4x1+x2≥124x_1 + x_2 \ge 12. Thus, the feasible region is defined by x1+x2≤14x_1 + x_2 \le 14, 5x1+2x2≥365x_1 + 2x_2 \ge 36, x1≥0x_1 \ge 0, and x2≥0x_2 \ge 0.

  3. Identify the corner points of the feasible region.

    The feasible region is a polygon formed by the intersection of the active constraints. The vertices are:

    • Vertex A: Intersection of x1+x2=14x_1 + x_2 = 14 and 5x1+2x2=365x_1 + 2x_2 = 36. From x1+x2=14x_1 + x_2 = 14, we get x2=14−x1x_2 = 14 - x_1. Substitute into the second equation:

      5x1+2(14−x1)=365x_1 + 2(14 - x_1) = 36 5x1+28−2x1=365x_1 + 28 - 2x_1 = 36 3x1=8  ⟹  x1=833x_1 = 8 \implies x_1 = \frac{8}{3} x2=14−83=42−83=343x_2 = 14 - \frac{8}{3} = \frac{42 - 8}{3} = \frac{34}{3}

      So, A=(83,343)A = \left(\frac{8}{3}, \frac{34}{3}\right).

    • Vertex B: Intersection of x1+x2=14x_1 + x_2 = 14 and x2=0x_2 = 0.

      x1+0=14  ⟹  x1=14x_1 + 0 = 14 \implies x_1 = 14

      So, B=(14,0)B = (14, 0).

    • Vertex C: Intersection of 5x1+2x2=365x_1 + 2x_2 = 36 and x2=0x_2 = 0.

      5x1+2(0)=36  ⟹  5x1=36  ⟹  x1=365=7.25x_1 + 2(0) = 36 \implies 5x_1 = 36 \implies x_1 = \frac{36}{5} = 7.2

      So, C=(365,0)C = \left(\frac{36}{5}, 0\right).

  4. Evaluate the objective function at each corner point.

    The objective function is Z=4x1−2x2Z = 4x_1 - 2x_2.

    • At A=(83,343)A = \left(\frac{8}{3}, \frac{34}{3}\right):

      ZA=4(83)−2(343)=323−683=−363=−12Z_A = 4\left(\frac{8}{3}\right) - 2\left(\frac{34}{3}\right) = \frac{32}{3} - \frac{68}{3} = -\frac{36}{3} = -12
    • At B=(14,0)B = (14, 0):

      ZB=4(14)−2(0)=56−0=56Z_B = 4(14) - 2(0) = 56 - 0 = 56
    • At C=(365,0)C = \left(\frac{36}{5}, 0\right):

      ZC=4(365)−2(0)=1445=28.8Z_C = 4\left(\frac{36}{5}\right) - 2(0) = \frac{144}{5} = 28.8
  5. Determine the optimal solution.

    Comparing the values of ZZ at the corner points, the maximum value is 56.

    The maximum value of ZZ is 56\boxed{\text{56}} at x1=14,x2=0x_1 = 14, x_2 = 0.

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