An iso-profit line represents.

A. An infinite number of solutions all of which yield the same profit
B. An infinite number of solution all of which yield the same cost
C. An infinite number of optimal solutions
D. A boundary of the feasible region
✅ The correct answer is option A.
An iso-profit line represents an infinite number of solutions all of which yield the same profit. The graph of the profit function is called an iso-profit line. It is called this because “iso” means “same” or “equal” and the profit anywhere on the line is the same.

Graphic method can be applied to solve a LPP when there are only _____________ variable.

A. One
B. More than One
C. Two
D. Three
✅ The correct answer is option C.
Graphic method can be applied to solve a LPP when there are only two variable. This method is used to solve a two variable linear program. If you have only two decision variables, you should use the graphical method to find the optimal solution. A graphical method involves formulating a set of linear inequalities subject to the constraints. Then the inequalities are plotted on a X-Y plane.

If one of the constraint of an equation in an LP problem has an unbounded solution, then.

A. Solution to such LP problem must be degenerate
B. Feasible region should have a line segment
C. Alternative solutions exist
D. None of the above
✅ The correct answer is option B.
If one of the constraint of an equation in an LP problem has an unbounded solution, then feasible region should have a line segment. If there is going to be an optimal solution to a linear programming problem, it will occur at one or more corner points, or on a line segment between two corner points.

An advantage of simulation as opposed to optimization is that.

A. Several options of measure of performance can be examined
B. Complex real-life problems can be studied
C. It is applicable in cases where there is an element of randomness in a system
D. All of the above
✅ The correct answer is option D.
An advantage of simulation as opposed to optimization is that Several options of measure of performance can be examined, Complex real-life problems can be studied and It is applicable in cases where there is an element of randomness in a system.

While solving a LP problem, infeasibility may be removed by?

A. Adding another constraint
B. Adding another variable
C. Removing a constraint
D. Removing a variable
✅ The correct answer is option C.
While solving a LP problem, infeasibility may be removed by removing a constraint. A linear program is infeasible if there exists no solution that satisfies all of the constraints in other words, if no feasible solution can be constructed.