- 2083 Baishakh · 1+9 marks
Simplex method max:Z=3x₁+5x₂
Short answer
Slack variables (s₁,s₂,s₃) turn ≤ inequalities into equations, measuring unused resource. Initial BFS: s₁=18, s₂=4, s₃=6. Pivot x₂ in then x₁; final table x₁=2, x₂=6, max Z=36.
Describe slack variables, and hence solve the following linear programming problem applying the simplex method: Maximize Z = 3x₁ + 5x₂ subject to 3x₁ + 2x₂ ≤ 18, x₁ ≤ 4, x₂ ≤ 6, x₁, x₂ ≥ 0.
Slack variables. A slack variable is a non-negative variable added to the left side of a ≤ constraint to convert it into an equation. It measures the unused amount of the resource. For example, 3x₁ + 2x₂ ≤ 18 becomes 3x₁ + 2x₂ + s₁ = 18 with s₁ ≥ 0. Slack variables have zero coefficient in the objective function and provide the starting basic feasible solution (all original variables = 0).
Step 1: Standard form. Every constraint is of the ≤ type, so add one slack variable to each (s₁, s₂, s₃ ≥ 0) to turn it into an equation. Slack variables have zero cost.
Maximize Z = 3x₁ + 5x₂
subject to
3x₁ + 2x₂ + s₁ = 18
x₁ + s₂ = 4
x₂ + s₃ = 6
Step 2: Initial basic feasible solution. Put x₁, x₂ = 0, so the slack variables are the basic variables: s₁ = 18, s₂ = 4, s₃ = 6. 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 3 5 0 0 0
Basis CB x₁ x₂ s₁ s₂ s₃ b Ratio
------------------------------------
s₁ 0 3 2 1 0 0 18 9
s₂ 0 1 0 0 1 0 4 -
s₃ 0 0 1 0 0 1 6 6
------------------------------------
Zj 0 0 0 0 0 0
Cj-Zj 3 5 0 0 0
Entering: x₂ Leaving: s₃ Pivot = 1
Table 2
Cj 3 5 0 0 0
Basis CB x₁ x₂ s₁ s₂ s₃ b Ratio
------------------------------------
s₁ 0 3 0 1 0 -2 6 2
s₂ 0 1 0 0 1 0 4 4
x₂ 5 0 1 0 0 1 6 -
------------------------------------
Zj 0 5 0 0 5 30
Cj-Zj 3 0 0 0 -5
Entering: x₁ Leaving: s₁ Pivot = 3
Table 3
Cj 3 5 0 0 0
Basis CB x₁ x₂ s₁ s₂ s₃ b
----------------------------------
x₁ 3 1 0 1/3 0 -2/3 2
s₂ 0 0 0 -1/3 1 2/3 2
x₂ 5 0 1 0 0 1 6
----------------------------------
Zj 3 5 1 0 3 36
Cj-Zj 0 0 -1 0 -3
Step 4: Optimality test. In the last table every Cj − Zj is ≤ 0, so the solution is optimal.
Answer: x₁ = 2, x₂ = 6, and Maximum Z = 36.
✓ Answer checked by Claude Opus 5.5 (high effort)
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