Exam 24: Waiting-Line Models

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In the analysis of queuing models, the Poisson distribution often describes arrival rates and service times are often described by the negative exponential distribution.

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Which of the following represents an unlimited queue?

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In an earlier chapter, you were introduced to a "traditional" view of costs and a "full cost" view of costs, with respect to a certain type of analysis. How might that lesson apply here? In particular, might operations managers pay more attention to some kinds of costs than others?

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Most banks have changed from having a line in front of each teller to a system where one line feeds all tellers. Which system is better? Why?

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Students arrive randomly at the help desk of the computer lab. There is only one service agent, and the time required for inquiry varies from student to student. Arrival rates have been found to follow the Poisson distribution, and the service times follow the negative exponential distribution. The average arrival rate is 12 students per hour, and the average service rate is 20 students per hour. What is the average service time for this problem?

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A(n) __________ is a discrete probability distribution that often describes the arrival rate in queuing theory.

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Students arrive randomly at the help desk of the computer lab. There is only one service agent, and the time required for inquiry varies from student to student. Arrival rates have been found to follow the Poisson distribution, and the service times follow the negative exponential distribution. The average arrival rate is 12 students per hour, and the average service rate is 20 students per hour. How many students, on the average, will be waiting in line at any one time?

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What are Ls and Lq, as used in waiting line terminology? Which is larger, Ls or Lq? Explain.

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Describe the important operating characteristics of a queuing system.

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A concert hall, employing both ticket takers and ushers to seat patrons, behaves typically as a

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In a finite or limited population waiting line, the __________ is calculated from the average service time and average time between service requirements before the problem can be completed.

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Customers take a number as they join the waiting line of the customer service counter at a discount store. There are two customer service agents. Provide the most likely characteristics of this system. a. name of model b. number of channels c. number of phases d. arrival rate distribution e. service time distribution f. population size g. queue discipline

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Suppose that a fast food restaurant wants the average line to be 4 customers and that 80 customers arrive each hours. How many minutes will the average customer be forced to wait in line?

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Which of the following is a requirement for application of Little's Law to be valid?

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The __________ probability distribution is a continuous probability distribution often used to describe the service time in a queuing system.

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A waiting line meeting the M/M/1 assumptions has an arrival rate of 10 per hour and a service rate of 12 per hour. What is the probability that the waiting line is empty?

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A waiting line model meeting the assumptions of M/M/1 has an arrival rate of 2 per hour and a service rate of 6 per hour; the utilization factor for the system is approximately

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Which one of the following is not a characteristic of a Model B or M/M/S system?

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An airline ticket counter, with several agents for one line of customers, is an example of a

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In a repetitive focus factory, the number of phases found in the system might refer to

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