Multiple Choice
Identify the
choice that best completes the statement or answers the question.
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1.
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Decision makers in queuing situations attempt to balance
a. | operating characteristics against the arrival rate. | b. | service levels
against service cost. | c. | the number of units in the system against the
time in the system. | d. | the service rate against the arrival
rate. |
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2.
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Performance measures dealing with the number of units in line and the time spent
waiting are called
a. | queuing facts. | b. | performance queues. | c. | system
measures. | d. | operating characteristics. |
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3.
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The manner in which units receive their service, such as FCFS, is the
a. | queue discipline. | b. | channel. | c. | steady
state. | d. | operating characteristic. |
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4.
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In a waiting line situation, arrivals occur, on average, every 10 minutes, and
10 units can be received every hour. What are l and m?
a. | l = 10, m =
10 | b. | l = 6, m =
6 | c. | l = 6, m =
10 | d. | l = 10, m =
6 |
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5.
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Operating characteristics formulas for the single-channel queue do NOT
require
a. | l ³ m. | b. | Poisson distribution of
arrivals. | c. | an exponential distribution of service times. | d. | an FCFS queue
discipline. |
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6.
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In a multiple channel system
a. | each server has its own queue. | b. | each server has the same service
rate. | c. | m > l | d. | All of the
alternatives are correct. |
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7.
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The total cost for a waiting line does NOT specifically depend on
a. | the cost of waiting. | b. | the cost of service. | c. | the number of units
in the system. | d. | the cost of a lost customer. |
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8.
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Models with a finite calling population
a. | have an arrival rate independent of the number of units in the
system. | b. | have a service rate dependent on the number of units in the
system. | c. | use the size of the population as a parameter in the operating characteristics
formulas. | d. | All of the alternatives are correct. |
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9.
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The arrival rate in queuing formulas is expressed as
a. | the mean time between arrivals. | b. | the minimum number of arrivals per time
period. | c. | the mean number of arrivals per channel. | d. | the mean number of
arrivals per time period. |
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10.
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For many waiting line situations, the arrivals occur randomly and independently
of other arrivals and it has been found that a good description of the arrival pattern is provided
by
a. | a normal probability distribution. | b. | an exponential probability
distribution. | c. | a uniform probability distribution. | d. | a Poisson probability
distribution. |
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