Question 1

The ________ determine(s) the equilibrium of a Markov process.&#10;A) original state probabilities&#10;B) state vector&#10;C) transition matrix&#10;D) fundamental matrix F

Accepted Answer

The transition matrix determines the equilibrium of a Markov process because it contains the probabilities of moving from one state to another in each step, which ultimately governs the behavior and equilibrium of the system.

Question 2

The first step in simulation is to&#10;A) set up possible courses of action for testing.&#10;B) construct a numerical model.&#10;C) validate the model.&#10;D) define the problem.

Accepted Answer

The first step in simulation is to define the problem. This involves understanding what needs to be solved or analyzed before any models are constructed or courses of action are considered.

Question 3

Which of the following are disadvantages of simulation?&#10;A) inability to analyze large and complex real-world situations&#10;B) &#34;time compression&#34; capability&#10;C) could be disruptive by interfering with the real-world system&#10;D) is not usually easily tr

Accepted Answer

inability to analyze large and complex real-world situations&#10;

Question 4

Cumulative probabilities are found by&#10;A) summing all the probabilities associated with a variable.&#10;B) simulating the initial probability distribution.&#10;C) summing all the previous probabilities up to the current value of the variable.&#10;D) any method one chooses.

Accepted Answer

Cumulative probabilities are calculated by summing all the previous probabilities up to the current value of the variable, which allows for the determination of the probability of a variable being less than or equal to a certain value.

Question 5

If we are going to simulate an inventory problem, we must&#10;A) Run the simulation for many days.&#10;B) Run the simulation for many days many times, i. e. , using multiple sets of random numbers.&#10;C) Run the simulation many times, i. e. , using multiple sets of random numbers.&#10;D) Run the simulation once, for a relative short period of time.

Accepted Answer

Running the simulation for many days multiple times using different sets of random numbers ensures that the variability and randomness inherent in inventory problems are adequately captured, providing a more comprehensive understanding of potential outcomes.

Question 6

Simulation should be thought of as a technique for&#10;A) obtaining a relatively inexpensive solution to a problem.&#10;B) increasing one's understanding of a problem.&#10;C) obtaining an optimal solution to a problem.&#10;D) providing quick and dirty

Accepted Answer

The answer of Simulation should be thought of as a...

Question 7

To simulate is to try to __________ the features, appearance, and characteristics of a real system.&#10;A) Develop&#10;B) Analyze&#10;C) Multiply&#10;D) Duplicate

Accepted Answer

To simulate something means to imitate or replicate its features, appearance, and characteristics as closely as possible, which is best described by the word "duplicate."

Question 8

The three types of mathematical simulation models are&#10;A) operational gaming, Monte Carlo, systems simulation&#10;B) Monte Carlo, queuing, maintenance policy.&#10;C) Monte Carlo, systems simulation, computer gaming.&#10;D) system simulation, operational gaming, weather forecasting.

Accepted Answer

The three types of mathematical simulation models are operational gaming, Monte Carlo, and systems simulation. These models are used to analyze and predict the behavior of complex systems under various conditions. Operational gaming involves simulations that model operational processes, Monte Carlo simulations use random sampling to understand the impact of uncertainty, and systems simulation models the interactions within complex systems.

Question 9

Most of the constraints in the linear programming problem are expressed as &#8230;&#8230;&#8230;.&#10;A) Equality&#10;B) Inequality&#10;C) Uncertain&#10;D) all of the above

Accepted Answer

Most of the constraints in linear programming problems are expressed as inequalities, which allow for a range of feasible solutions rather than a single point. This accommodates the practical limitations and requirements often encountered in optimization problems.

Deck 3: Simulation Modeling and Analysis