Ünite Sınavı Soruları

Which disadvantage of linear modeling is described below?

"Linear programming is only effective if the model you use reflects the real world."

Which of the terms below can be defined as the function of a linear programming model that is desired to be maximized or minimized?

Which of the alternatives below is true regarding this given linear program: Maximize Z = 2x₁ + x₂ subject to 5x₁ + 6x₂ ≤ 30, –x₁ + 4x₂ ≤ 12, x₁≥ 0, x₂ ≥ 0.

The contribution of every decision variable is proportional to its value. As a result, _________ assumption casts out any variable that has an exponent other than 1.

Which of the following completes the sentence above?

Which of the following is not one of the steps of the operations research approach?

Who is the person who is recognized as the first to explore the field of operations research?

In the minimization models, what is  the objective function is alternatively named?

In the maximization models, how is the objective function is alternatively named?

Who introduced the systematic solution which is called “simplex algorithm”?

In the minimization models, the objective function is alternatively named:

A feasible solution that reaches the most favorable value of the objective function is called:

"An airport ground operations firm seeks to minimize the cost of human resource for its passenger services. The airport runs 7/24 and the number of passengers fluctuates with the time of the day. To maintain the quality of the service, the operations manager keeps the passengers-to-service personnel ratio at a threshold level. Hence the number of personnel needed has to be optimized as the number of passengers change. The personnel works eight successive hours a day only with five-shift schedule starting at 4 a.m., 8 a.m., 12 p.m., 4 p.m. and 8 p.m."

The problem given above is an example of which of the following?

Which of the following is a feasible solution to this linear program: "Minimize Z=x+3y subject to the constraints: y ≤ 2x, x+y ≤ 10, x ≥ 0, y ≥ 0.

Which of the following assumptions means that each parameter of a linear programming model is constant in all conditions?

The assumption in linear programming that casts out any variable that has an exponent other than 1 is called:

1. The modeling phase is the transformation of verbal description of the problem into a mathematical model under the linear programming assumptions.
2. Mathematical model is a system of equations and inequalities representing the objective and the constraints.
3. The decision to be derived from the model is related to quantifiable variables that are in control.
4. The variables of decision x₁, x₂, ... , x_n are called the parameters.
5. The constants (i.e. the coefficients and right-hand side values of the inequalities) are called the decision variables.

Which of the statements above about modeling with linear programming are correct?

A little kid has 20TL of pocket money that he wants to spend at the local market. He wants to buy his favorite chocolates, biscuits and chips with that money. Price of chocolates is 2TL, price of biscuits is 1,5TL and price of chips is 3TL. He wants to buy the largest quantity of these goods that is possible, provided he gets at least one of each of them. What is a necessary component of the problem above?