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- 2074 Chaitra · 10 marks
Simplex method max:Z=4x+3y
Short answer
After two simplex iterations the optimal solution is x = 3/2, y = 1, yielding maximum Z = 9.
Solve the following linear programming problem by the simplex method: Maximize Z = 4x + 3y subject to 2x + 3y ≤ 6, −x + 2y ≤ 3, 2y ≤ 5, 2x + y ≤ 4, x, y ≥ 0.
Step 1: Standard form. Every constraint is of the ≤ type, so add one slack variable to each (s₁, s₂, s₃, s₄ ≥ 0) to turn it into an equation. Slack variables have zero cost.
Maximize Z = 4x + 3y
subject to
2x + 3y + s₁ = 6
−x + 2y + s₂ = 3
2y + s₃ = 5
2x + y + s₄ = 4
Step 2: Initial basic feasible solution. Put x, y = 0, so the slack variables are the basic variables: s₁ = 6, s₂ = 3, s₃ = 5, s₄ = 4. Then Z = 0.
Rules used: the entering variable is the one with the largest positive Cj − Zj; the leaving variable is the one with the smallest non-negative ratio b/column; the solution is optimal when every Cj − Zj ≤ 0.
Step 3: Simplex tables
Table 1
Cj 4 3 0 0 0 0
Basis CB x y s₁ s₂ s₃ s₄ b Ratio
-------------------------------------
s₁ 0 2 3 1 0 0 0 6 3
s₂ 0 -1 2 0 1 0 0 3 -
s₃ 0 0 2 0 0 1 0 5 -
s₄ 0 2 1 0 0 0 1 4 2
-------------------------------------
Zj 0 0 0 0 0 0 0
Cj-Zj 4 3 0 0 0 0
Entering: x Leaving: s₄ Pivot = 2
Table 2
Cj 4 3 0 0 0 0
Basis CB x y s₁ s₂ s₃ s₄ b Ratio
---------------------------------------
s₁ 0 0 2 1 0 0 -1 2 1
s₂ 0 0 5/2 0 1 0 1/2 5 2
s₃ 0 0 2 0 0 1 0 5 5/2
x 4 1 1/2 0 0 0 1/2 2 4
---------------------------------------
Zj 4 2 0 0 0 2 8
Cj-Zj 0 1 0 0 0 -2
Entering: y Leaving: s₁ Pivot = 2
Table 3
Cj 4 3 0 0 0 0
Basis CB x y s₁ s₂ s₃ s₄ b
------------------------------------
y 3 0 1 1/2 0 0 -1/2 1
s₂ 0 0 0 -5/4 1 0 7/4 5/2
s₃ 0 0 0 -1 0 1 1 3
x 4 1 0 -1/4 0 0 3/4 3/2
------------------------------------
Zj 4 3 1/2 0 0 3/2 9
Cj-Zj 0 0 -1/2 0 0 -3/2
Step 4: Optimality test. In the last table every Cj − Zj is ≤ 0, so the solution is optimal.
Answer: x = 3/2, y = 1, and Maximum Z = 9.
✓ Answer checked by Claude Opus 5.5 (high effort)
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