In linear programming models of real problems, the occurrence of an unbounded solution means that the Group of answer choices resultant values of the decision variables have no bounds. mathematical models sufficiently represent the real-world problems. problem formulation is improper. constraints have been excessively used in modeling.

Problem formulation is improper.

Step-by-step explanation:

A linear programming model is a mathematical method used for solving linear problems through the use of decision variables and objective functions.

In linear programming models of real problems, the occurrence of an unbounded solution means that the problem formulation is improper.

Hence, if the formulation of a linear real problem is not correct or improper, it would result in an unbounded solution.

This simply means that, the objective function which primarily defines the quantity to be maximized or minimized in a linear programming model was formulated improperly.

Hence, for a bounded solution in a linear programming model, the objective function and the decision variable should be proportional.

In a broader view, the conditions necessary for a linear programming model with bounded solutions are;

1. It should be a single objective either to minimize or maximize.

2. It should have continuous variables.

3. Both objective and constraints must be linear.

4. The value of the decision variable must be positive.

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step-by-step explanation: