Question 31) Which of the following is not a part of every linear progr

31) Which of the following is not a part of every linear programming problem formulation?

A) an objective function

B) a set of constraints

C) non-negativity constraints

D) a redundant constraint

E) maximization or minimization of a linear function

32) When appropriate, the optimal solution to a maximization linear programming problem can be found by graphing the feasible region and

A) finding the profit at every corner point of the feasible region to see which one gives the highest value.

B) moving the isoprofit lines towards the origin in a parallel fashion until the last point in the feasible region is encountered.

C) locating the point that is highest on the graph.

D) None of the above

E) All of the above

33) The mathematical theory behind linear programming states that an optimal solution to any problem will lie at a(n) ________ of the feasible region.

A) interior point or center

B) maximum point or minimum point

C) corner point or extreme point

D) interior point or extreme point

E) None of the above

34) Which of the following is not a property of linear programs?

A) one objective function

B) at least two separate feasible regions

C) alternative courses of action

D) one or more constraints

E) objective function and constraints are linear

35) The corner point solution method

A) will always provide one, and only one, optimum.

B) will yield different results from the isoprofit line solution method.

C) requires that the profit from all corners of the feasible region be compared.

D) requires that all corners created by all constraints be compared.

E) will not provide a solution at an intersection or corner where a non-negativity constraint is involved.

36) When a constraint line bounding a feasible region has the same slope as an isoprofit line,

A) there may be more than one optimum solution.

B) the problem involves redundancy.

C) an error has been made in the problem formulation.

D) a condition of infeasibility exists.

E) None of the above

37) The simultaneous equation method is

A) an alternative to the corner point method.

B) useful only in minimization methods.

C) an algebraic means for solving the intersection of two or more constraint equations.

D) useful only when more than two product variables exist in a product mix problem.

E) None of the above

38) Consider the following linear programming problem:

The maximum possible value for the objective function is

A) 360.

B) 480.

C) 1520.

D) 1560.

E) None of the above

39) Consider the following linear programming problem:

The feasible corner points are (48,84), (0,120), (0,0), (90,0). What is the maximum possible value for the objective function?

A) 1032

B) 1200

C) 360

D) 1600

E) None of the above

40) Consider the following linear programming problem:

Which of the following points (X,Y) is not a feasible corner point?

A) (0,60)

B) (105,0)

C) (120,0)

D) (100,10)

E) None of the above

41) Consider the following linear programming problem:

Which of the following points (X,Y) is not feasible?

A) (50,40)

B) (20,50)

C) (60,30)

D) (90,10)

E) None of the above

42) Two models of a product – Regular (X) and Deluxe (Y) – are produced by a company. A linear programming model is used to determine the production schedule. The formulation is as follows:

The optimal solution is X = 100, Y = 0.

How many units of the regular model would be produced based on this solution?

A) 0

B) 100

C) 50

D) 120

E) None of the above

43) Two models of a product – Regular (X) and Deluxe (Y) – are produced by a company. A linear programming model is used to determine the production schedule. The formulation is as follows:

The optimal solution is X = 100, Y = 0.

Which of these constraints is redundant?

A) the first constraint

B) the second constraint

C) the third constraint

D) All of the above

E) None of the above

44) Consider the following linear programming problem:

What is the optimum solution to this problem (X,Y)?

A) (0,0)

B) (50,0)

C) (0,100)

D) (400,0)

E) None of the above

45) Consider the following linear programming problem:

This is a special case of a linear programming problem in which

A) there is no feasible solution.

B) there is a redundant constraint.

C) there are multiple optimal solutions.

D) this cannot be solved graphically.

E) None of the above

46) Consider the following linear programming problem:

This is a special case of a linear programming problem in which

A) there is no feasible solution.

B) there is a redundant constraint.

C) there are multiple optimal solutions.

D) this cannot be solved graphically.

E) None of the above

Answer: A

Diff: 3

Topic: GRAPHICAL SOLUTION TO AN LP PROBLEM

AACSB: Analytic Skills47) Which of the following is not acceptable as a constraint in a linear programming problem (maximization)?

A) Constraint 1

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