Exam 24: Waiting-Line Models

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A university has only one technician in the repair station to care for the computers in the student labs. This system is most likely

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A queuing model which follows the M/M/1 assumptions has λ = 2 and μ = 8. The average number in the system Ls is __________ and the utilization of the system is __________.

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B

Which part of a waiting line has characteristics that involve statistical distribution?

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D

A dental clinic at which only one dentist works is open only two days a week. During those two days, the traffic is uniformly busy with patients arriving at the rate of three per hour. The doctor serves patients at the rate of one every 15 minutes. a. What is the probability that the clinic is empty (except for the dentist)? b. What percentage of the time is the dentist busy? c. What is the average number of patients in the waiting room? d. What is the average time a patient spends in the office (wait plus service)? e. What is the average time a patient waits for service?

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Which of the following is a measure of queue performance?

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A(n) __________ queuing system has one waiting line, but several servers; a(n) __________ queuing system is one in which the customer receives services from several stations before exiting the system

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A crew of mechanics at the Highway Department garage repair vehicles that break down at an average of λ = 8 vehicles per day (approximately Poisson in nature). The mechanic crew can service an average of μ= 10 vehicles per day with a repair time distribution that approximates an exponential distribution. a. What is the probability that the system is empty? b. What is the probability that there is precisely one vehicle in the system? c. What is the probability that there is more than one vehicle in the system? d. What is the probability of 5 or more vehicles in the system?

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A large discount store and supermarket has a hair styling salon on its premises. The salon has several operators. Salon customers can shop in other parts of the store until their name is called for salon service, at which time the customer will be served by the next available stylist. This scenario provides an example of a

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A university has several technicians in the repair station to care for the computers in the student labs. This system is most likely

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As the average service rate μ grows larger, the slope of the distribution of service time probabilities grows larger and larger, eventually becoming positive.

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Little's Law is not applicable in which of the following situations?

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If the service time within a queuing system is constant, the service rate can be easily described by a negative exponential distribution.

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A waiting-line system that meets the assumptions of M/M/1 has λ = 1, μ = 4. For this system, Pₒ is __________ and utilization is __________.

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A waiting-line system that meets the assumptions of M/M/S has λ = 5, μ = 4, and M = 2. For these values, Pₒ is approximately 0.23077 and Ls is approximately 2.05128. The average time a unit spends in this system

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A(n) __________ queuing system has one line and one server.

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A waiting line meeting the assumptions of M/M/1 has average time between arrivals of 20 minutes and services items in an average of 10 minutes each; the utilization factor is approximately

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What does it mean to have a patient customer in a waiting line?

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A copy center has five machines that serve many customers throughout the day; the waiting-line system for copy service has an infinite population while the waiting-line system for copier maintenance has a finite population

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A crew of mechanics at the Highway Department garage repair vehicles that break down at an average of λ = 7 vehicles per day (approximately Poisson in nature). The mechanic crew can service an average of μ= 11 vehicles per day with a repair time distribution that approximates an exponential distribution. a. What is the utilization rate for this service system? b. What is the average time before the facility can return a breakdown to service? c. How much of that time is spent waiting for service? d. How many vehicles are likely to be waiting for service at any one time?

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Four of the most widely used waiting line models-M/M/1 or A, M/M/S or B, M/D/1 or C, and Limited population or D-all share three characteristics, which are

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