The assumption that is necessary for a linear programming model to be appropriate and that ensures that the value of the objective function and the total resources used can be found by summing the objective function contribution and the resources used for all decision variables is known as
A)proportionality.
B)negativity.
C)additivity.
D)divisibility.

Question

Quizplus · Accepted Answer

The assumption of additivity is necessary for a linear programming model to be appropriate and solve for the objective function and resource constraints by summing the contribution of all decision variables. This means that the total contribution of each decision variable to the objective function and resources used must be directly proportional to the amount of that decision variable used. This assumption also allows for the use of matrix algebra to solve the linear programming problem.

The Assumption That Is Necessary for a Linear Programming Model