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Which statement best describes discrete-event simulation?
A. A model in which system variables change continuously with time
B. A model in which system state changes occur at distinct points in
time
C. A model that can only represent deterministic systems
D. A model that does not require random variables
Answer: B
Rationale: In discrete-event simulation, the system state changes at
specific event times, such as an arrival, service completion, machine
failure, or departure. Between events, the modeled state generally
remains unchanged. Continuous simulation, by contrast, represents
state variables that evolve continuously over time.
What is the primary purpose of a simulation model?
A. To guarantee an exact analytical solution
B. To replace all mathematical analysis
,C. To imitate the behavior of a real or proposed system for analysis
D. To eliminate uncertainty from a system
Answer: C
Rationale: Simulation imitates the behavior of a real system or
conceptual system so that its performance can be studied. Simulation
does not necessarily produce an exact analytical solution and does not
eliminate uncertainty; instead, it allows uncertainty and complex
interactions to be represented computationally.
In a discrete-event simulation, what is the simulation clock used to
represent?
A. The number of replications performed
B. The current simulated time
C. The number of random numbers generated
D. The total number of entities in the system
Answer: B
Rationale: The simulation clock records the current point in simulated
time. The clock advances from one event time to the next rather than
necessarily advancing in equal increments.
Which of the following is an example of an event in a queueing
simulation?
,A. The average waiting time
B. The utilization percentage
C. A customer arrival
D. The probability distribution of service time
Answer: C
Rationale: An event is an instantaneous occurrence that changes the
system state. A customer arrival is an event because it changes the
number of customers in the system and potentially changes the queue.
A customer arriving at a service facility is best represented as which
type of simulation entity?
A. Attribute
B. Entity
C. Event list
D. State variable
Answer: B
Rationale: An entity is an object that moves through or participates in
a system. In a queueing system, customers are entities. Attributes
describe properties of those entities, while events describe occurrences
involving them.
Which item is most appropriately classified as an attribute of a
customer entity?
, A. Customer arrival
B. Server becoming idle
C. Customer priority level
D. Simulation clock
Answer: C
Rationale: An attribute is a characteristic associated with an entity.
Examples include customer priority, service requirement, customer
type, and arrival class. An arrival is an event rather than an attribute.
A simulation model assumes that inter-arrival times are exponentially
distributed. Which property is especially important for this
distribution?
A. It is memoryless
B. It is symmetric around its mean
C. It can take negative values
D. Its variance is always zero
Answer: A
Rationale: The exponential distribution has the memoryless property.
Conditional on having already waited for some period, the remaining
waiting time has the same exponential distribution as it did initially.
Exponential random variables are also nonnegative and are commonly
used to model interarrival or service times in stochastic systems.