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Mjdah Al Shehri
Hamdy A. Taha, Operations Research: An
introduction, 8th
Edition
Chapter 2:
Modeling with Linear Programming &
sensitivity analysis [extra]
1
• Infeasibility: Occurs when a model has no feasible point.
• Unboundness: Occurs when the objective can become
infinitely large (max), or infinitely small (min).
• Alternate solution: Occurs when more than one point
optimizes the objective function
Models Without Unique OptimalModels Without Unique Optimal
SolutionsSolutions
1
No point, simultaneously,
lies both above line and
below lines and
.
1
2 3
2
3
Infeasible Model
Unbounded solution
The feasible
region
Maximize
the Objective Function
∞

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Chapter 2-updatedextra

  • 1. Mjdah Al Shehri Hamdy A. Taha, Operations Research: An introduction, 8th Edition Chapter 2: Modeling with Linear Programming & sensitivity analysis [extra] 1
  • 2. • Infeasibility: Occurs when a model has no feasible point. • Unboundness: Occurs when the objective can become infinitely large (max), or infinitely small (min). • Alternate solution: Occurs when more than one point optimizes the objective function Models Without Unique OptimalModels Without Unique Optimal SolutionsSolutions
  • 3. 1 No point, simultaneously, lies both above line and below lines and . 1 2 3 2 3 Infeasible Model