Exam 11: Queueing Models

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Multiple-server queueing systems can perform satisfactorily with somewhat higher utilization factors than can single-server queueing systems.

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In a single-server system, the utilization factor is equal to the mean arrival rate divided by the mean service rate.

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Customers arrive at a suburban ticket outlet at the rate of 14 per hour on Monday mornings (exponential interarrival times). Selling the tickets and providing general information takes an average of 3 minutes per customer, and varies exponentially. There is 1 ticket agent on duty on Mondays. How many minutes does the average customer wait in line?

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Waiting lines occur even in systems that are less that 100% utilized because of variability in service rates and/or arrival rates.

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Priority Average Arrival Rate (exponential interarrival times) High 3 per hour Low 5 per hour Nurrber\nobreakspaceof\nobreakspaceservers: 5 Service\nobreakspacerate: 2\nobreakspaceper\nobreakspacehour\nobreakspace(exponential\nobreakspaceservice\nobreakspacetimes) What is the average time in line (in minutes) for a high priority item?

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Decreasing the variability of service times, without any change in the mean, improves the performance of a single-server queueing system substantially.

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The goal of queueing analysis is to minimize:

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Customers filter into a record shop at an average of 1 per minute (exponential interarrivals) where the service rate is 15 per hour (exponential service times). What is the minimum number of servers needed to keep the average time in the system under 6 minutes?

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Priority Average Arrival Rate (exponential interarrival times) High 3 per hour Low 5 per hour Nurrber\nobreakspaceof\nobreakspaceservers: 5 Service\nobreakspacerate: 2\nobreakspaceper\nobreakspacehour\nobreakspace(exponential\nobreakspaceservice\nobreakspacetimes) What is the overall arrival rate per hour?

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Which of the following will equal the average time that a customer is in the system? I. The average number in the system divided by the arrival rate. II. The average number in the system multiplied by the arrival rate. III. The average time in line plus the average service time.

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Priority Average Arrival Rate (exponential interarrival times) High 3 per hour Low 5 per hour Nurrber\nobreakspaceof\nobreakspaceservers: 5 Service\nobreakspacerate: 2\nobreakspaceper\nobreakspacehour\nobreakspace(exponential\nobreakspaceservice\nobreakspacetimes) What is the average time in the system (in minutes) for a low priority item?

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During the early morning hours, customers arrive at a branch post office at the average rate of 45 per hour (exponential interarrival times), while clerks can handle transactions on an average of 4 minutes each (exponential). If clerk cost is $30 per hour and customer waiting time represents a cost of $20 per hour, how many clerks can be justified on a cost basis?

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Managers who oversee queueing systems are usually concerned with how many customers are waiting and how long they will have to wait.

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The exponential distribution will always provide a reasonably close approximation of the true service-time distribution.

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A single server queueing system has an average service time of 8 minutes and an average time between arrivals of 10 minutes. The arrival rate is:

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A single-server queueing system has an average service time of 16 minutes per customer, which is exponentially distributed. The manager is thinking of converting to a system with a constant service time of 16 minutes. The arrival rate will remain the same. The effect will be to:

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The term queue discipline refers to:

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In a nonpreemptive priority system, customers are served in the order in which they arrive in the queue.

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Priority Average Arrival Rate (exponential interarrival times) High 3 per hour Low 5 per hour Nurrber\nobreakspaceof\nobreakspaceservers: 5 Service\nobreakspacerate: 2\nobreakspaceper\nobreakspacehour\nobreakspace(exponential\nobreakspaceservice\nobreakspacetimes) What is the average number of low priority items waiting in line for service?

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Which of these would increase system utilization?

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