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1. A waiting line system is also known as a system. A. call center B. customer fulfillment

1. A waiting line system is also known as a system. A. call center B. customer fulfillment

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Linear Programming

6. In a queuing system the mean number of items served per time period is called 1. A waiting line system is also known as a system. A. call center A. The mean arrival rate. B. customer fulfillment B. The mean service rate C. long D. queuing C. Average rate service D. None of the above 2. All the following are queuing prineiples 7. Patrons are waiting in a queue at a gas station for ЕXCEPT; service from the pump attendant. What is the possible type of queuing system at a gas station? A. Last in First out (LIFO) B. Service in random order (SIRO) A. First Come First Served B. Service in Random Order C. Last in Last Out D. Priority Service C. First come first served (FIFO) D. None of the above 3. The process of arrivals within a queuing system follows a 8. Which of the following is used to model how A. Binomial distribution customers are served in a queuing system? A. Binomial distribution B. Exponential distribution C. Poisson distribution B. Poisson distribution D. Normal distribution C. Exponential distribution D. Uniform distribution 4. The basic queuing model assumes all of the following EXCEPT: A. The time between arrivals follows a normal 9. Which of the following is not one of the assumptions of an M/M/1 model? A. Arrivals are independent of preceding distribution B. Customer population is homogeneous and arrivals, but the arrival rate does not change infinite. over time B. Arrivals are served on a last in, first served C. Customers are well behaved. D. Arrivals are served under the FCFS system basis C. Service times follow the negative exponential probability distribution 5. In the queuing model notation: a/b/S, the S D. Arrivals follow the Poisson distribution and represents: come from an infinite population A. The service time distribution B. The arrival time distribution C. The waiting time for server D. The number of servers or channels
Transcribed Image Text:6. In a queuing system the mean number of items served per time period is called 1. A waiting line system is also known as a system. A. call center A. The mean arrival rate. B. customer fulfillment B. The mean service rate C. long D. queuing C. Average rate service D. None of the above 2. All the following are queuing prineiples 7. Patrons are waiting in a queue at a gas station for ЕXCEPT; service from the pump attendant. What is the possible type of queuing system at a gas station? A. Last in First out (LIFO) B. Service in random order (SIRO) A. First Come First Served B. Service in Random Order C. Last in Last Out D. Priority Service C. First come first served (FIFO) D. None of the above 3. The process of arrivals within a queuing system follows a 8. Which of the following is used to model how A. Binomial distribution customers are served in a queuing system? A. Binomial distribution B. Exponential distribution C. Poisson distribution B. Poisson distribution D. Normal distribution C. Exponential distribution D. Uniform distribution 4. The basic queuing model assumes all of the following EXCEPT: A. The time between arrivals follows a normal 9. Which of the following is not one of the assumptions of an M/M/1 model? A. Arrivals are independent of preceding distribution B. Customer population is homogeneous and arrivals, but the arrival rate does not change infinite. over time B. Arrivals are served on a last in, first served C. Customers are well behaved. D. Arrivals are served under the FCFS system basis C. Service times follow the negative exponential probability distribution 5. In the queuing model notation: a/b/S, the S D. Arrivals follow the Poisson distribution and represents: come from an infinite population A. The service time distribution B. The arrival time distribution C. The waiting time for server D. The number of servers or channels
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