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- 2079 Baishakh · 8 marks
Big-M method max:P=2x₁+5x₂
Short answer
Introduce slack s1 for ≤, surplus s2,s3 and artificial A1,A2 for ≥ constraints. The objective becomes P=2x1+5x2−MA1−MA2. After pivot operations entering x1, s3, then x2, optimal feasible solution: x1=8, x2=5, Maximum P=41.
Solve the following LPP by the Big-M method: Maximize P = 2x₁ + 5x₂ subject to x₁ + 2x₂ ≤ 18, 2x₁ + x₂ ≥ 21, x₁ + x₂ ≥ 10, x₁, x₂ ≥ 0.
Step 1: Make the problem ready for the simplex method.
- Constraint 1 is ≤: add slack variable s₁.
- Constraint 2 is ≥: subtract surplus variable s₂ and add artificial variable A₁.
- Constraint 3 is ≥: subtract surplus variable s₃ and add artificial variable A₂.
Artificial variables carry a cost of −M in the objective, where M is a very large positive number, so that the simplex method drives them out of the basis.
Maximize P = 2x₁ + 5x₂ − M·A₁ − M·A₂
subject to
x₁ + 2x₂ + s₁ = 18
2x₁ + x₂ − s₂ + A₁ = 21
x₁ + x₂ − s₃ + A₂ = 10
Step 2: Initial solution. Basic variables: the slack variables (for ≤ rows) and the artificial variables (for ≥ and = rows).
Step 3: Simplex tables. An artificial variable's column is dropped as soon as it leaves the basis. Cj − Zj entries contain M, and the large-M part decides which variable enters.
Table 1
Cj 2 5 0 0 -M 0 -M
Basis CB x₁ x₂ s₁ s₂ A₁ s₃ A₂ b Ratio
------------------------------------------------
s₁ 0 1 2 1 0 0 0 0 18 18
A₁ -M 2 1 0 -1 1 0 0 21 21/2
A₂ -M 1 1 0 0 0 -1 1 10 10
------------------------------------------------
Zj -3M -2M 0 M -M M -M -31M
Cj-Zj 2+3M 5+2M 0 -M 0 -M 0
Entering: x₁ Leaving: A₂ Pivot = 1
Table 2
Cj 2 5 0 0 -M 0
Basis CB x₁ x₂ s₁ s₂ A₁ s₃ b Ratio
---------------------------------------------
s₁ 0 0 1 1 0 0 1 8 8
A₁ -M 0 -1 0 -1 1 2 1 1/2
x₁ 2 1 1 0 0 0 -1 10 -
---------------------------------------------
Zj 2 2+M 0 M -M -2-2M 20-M
Cj-Zj 0 3-M 0 -M 0 2+2M
Entering: s₃ Leaving: A₁ Pivot = 2
Table 3
Cj 2 5 0 0 0
Basis CB x₁ x₂ s₁ s₂ s₃ b Ratio
------------------------------------------
s₁ 0 0 3/2 1 1/2 0 15/2 5
s₃ 0 0 -1/2 0 -1/2 1 1/2 -
x₁ 2 1 1/2 0 -1/2 0 21/2 21
------------------------------------------
Zj 2 1 0 -1 0 21
Cj-Zj 0 4 0 1 0
Entering: x₂ Leaving: s₁ Pivot = 3/2
Table 4
Cj 2 5 0 0 0
Basis CB x₁ x₂ s₁ s₂ s₃ b
----------------------------------
x₂ 5 0 1 2/3 1/3 0 5
s₃ 0 0 0 1/3 -1/3 1 3
x₁ 2 1 0 -1/3 -2/3 0 8
----------------------------------
Zj 2 5 8/3 1/3 0 41
Cj-Zj 0 0 -8/3 -1/3 0
Step 4: Optimality. All Cj − Zj ≤ 0 and no artificial variable remains in the basis, so the solution is optimal and feasible.
Answer: x₁ = 8, x₂ = 5, and Maximum P = 41.
✓ Answer checked by Claude Opus 5.5 (high effort)
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