Exam 25: Waiting-Line Models

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A system in which the customer receives service from only one station and then exits the system is which of the following?

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The two characteristics of the waiting line itself are whether its length is limited or unlimited and the discipline of the people or items in it.

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

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

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Which of the following represents a customer that reneged due to the waiting line?

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The shopper who says to himself,"I've waited too long in this line.I don't really need to buy this product today," and leaves the store is an illustration of which element of arrival behavior?

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Describe the difference between FIFO and LIFO queue disciplines.

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A finite population waiting line model with N = 5 has 5 arrivals per hour.Twenty customers can be served per hour.The probability the system is empty is:

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A finite population waiting line model is also called M/M/1 with finite source.

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Suppose that a service facility has an average line of 2 customers that must wait,on average,5 minutes for service.How many customers are arriving per hour?

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Which one of the following is NOT a characteristic of a Model A or M/M/1 system?

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A finite population waiting line model with N = 5 can serve 20 customers/day.There are 5 arrivals/day.What is the average number of customers in the queue?

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Suppose that 1 customer arrives each minute in a Poisson distribution.Is it more likely that 2 customers or 0 customers will arrive each minute?

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Which of the following is NOT a measure of a queue's performance?

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A waiting-line system that meets the assumptions of M/M/1 has λ = 1,μ = 4.Calculate Po.Build a table showing the probability of more than 0,1,2,3,4,5,6,and 7 units in the system.Round to six decimal places in your work

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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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Why must the service rate be greater than the arrival rate in a single-server system?

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In the basic queuing model (M/M/1),what probability distribution describes arrival rates?

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The cost of waiting decreases as the service level increases.

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A single-phase waiting-line system meets the assumptions of constant service time or M/D/1.Units arrive at this system every 12 minutes on average.Service takes a constant 8 minutes.What is the average length of the queue Lq in units?

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