bozhantifch08S.docx

1、bozhantifch08SChapter 8S Advanced Waiting Line Theory and Simulation ModelingTRUE/FALSE1. In waiting line theory, the number of channels refers to the number of customer waiting lines in the system.Answer: TrueReference: Alternative Waiting LinesDifficulty: EasyKeywords: channel, waiting line2. In m

2、ost waiting line models, customers are assumed to arrive at random intervals, based on a normal distribution.Answer: FalseReference: Alternative Waiting LinesDifficulty: EasyKeywords: arrival, interarrival, Poisson3. The Greek letter lambda () is used to represent the service rate of a waiting line

3、system.Answer: FalseReference: Alternative Waiting LinesDifficulty: ModerateKeywords: waiting line, arrival, service4. A waiting line cannot be both multiple-channel and multiple-phase.Answer: FalseReference: Alternative Waiting LinesDifficulty: EasyKeywords: channel, phase5. All waiting line formul

4、as assume that customers are served on a first-come first-served (FCFS) basis.Answer: TrueReference: Alternative Waiting LinesDifficulty: ModerateKeywords: FCFS, queue, discipline6. With only a half hour for lunch I screamed into the parking lot of the nearest Golden Arches Supper Club at 40 miles a

5、n hour. When I saw the drive through line was 15 cars deep I didnt bother getting in line; I was off to visit the Colonel. This behavior might be described as balking.Answer: TrueReference: Alternative Waiting LinesDifficulty: EasyKeywords: balk7. Everything about two different waiting line systems

6、is the same except one system has a constant service time and the other has a Poisson distributed service time. Customers using the system with the constant service time will have half the waiting time of the customers using the system with Poisson distributed service times.Answer: TrueReference: Al

7、ternative Waiting LinesDifficulty: ModerateKeywords: channel, multiple channel.AACSB: Analytic Skills8. The term “time compression” refers to the phenomenon that a server tends to speed up the service process if the waiting line exceeds some critical number of customers.Answer: FalseReference: Simul

8、ation ModelingDifficulty: EasyKeywords: simulation, time compression9. It is more costly to create a more realistic simulation than one that is less realistic.Answer: TrueReference: Simulation ModelingDifficulty: EasyKeywords: simulation, realistic10. Monte Carlo simulation uses statistical sampling

9、 to create outcomes for a large number of trials.Answer: TrueReference: Simulation ModelingDifficulty: ModerateKeywords: Monte Carlo, simulation11. In most cases, simulation models provide optimal solutions to problems just like most of the equations presented in your textbook.Answer: FalseReference

10、: Simulation ModelingDifficulty: ModerateKeywords: simulation, optimalMULTIPLE CHOICE12. A customer enters a business and has the opportunity to select any one of three lines to receive service. The service is performed by one customer service representative after which the customer leaves the estab

11、lishment. Which description of this waiting line system is appropriate?a. single channel, single phaseb. single channel, multiple phasec. multiple channel, single phased. multiple channel, multiple phaseAnswer: cReference: Alternative Waiting LinesDifficulty: EasyKeywords: channel, phase, waiting li

12、ne13. A customer enters a business and joins the one line that snakes back and forth through the lobby in order to receive service. The initial part of the service is performed by one customer service representative, after which the customer enters a second, shorter line to complete the service befo

13、re leaving the establishment. Which description of this waiting line system is appropriate?a. single channel, single phaseb. single channel, multiple phasec. multiple channel, single phased. multiple channel, multiple phaseAnswer: bReference: Alternative Waiting LinesDifficulty: EasyKeywords: channe

14、l, phase, waiting line14. Customer arrivals at a dry cleaning service occur randomly throughout the day. the distribution that is usually used to model the interval between arrivals is the:a. Poisson distribution.b. uniform distributionc. random distributiond. normal distributionAnswer: aReference:

15、Alternative Waiting LinesDifficulty: EasyKeywords: arrival, Poisson15. The department chair is out of town at a conference and you, as the assistant department chair, find yourself besieged by dozens of students needing permission to get into a very popular (but closed) class. Student arrivals are g

16、overned by the Poisson distribution with a mean of 10 minutes. Telling the students that they cant get into the closed class takes about 3 minutes, and this average is exponentially distributed. About how many students are waiting outside your office door?a. 0.13 studentsb. 0.43 studentsc. 1.25 stud

17、entsd. 2.25 studentsAnswer: aReference: Alternative Waiting LinesDifficulty: ModerateKeywords: waiting, single channel, single phaseAACSB: Analytic Skills16. The department chair is out of town at a conference and you, as the assistant department chair, find yourself besieged by dozens of students n

18、eeding permission to get into a very popular (but closed) class. Student arrivals are governed by the Poisson distribution with a mean of 10 minutes. Telling the students that they cant get into the closed class takes about 5 minutes, and this average is exponentially distributed. About how long do

19、students wait outside your office door?a. 0.083 minutesb. 0.083 hoursc. 0.50 minutesd. 0.50 hoursAnswer: bReference: Alternative Waiting LinesDifficulty: ModerateKeywords: waiting, single channel, single phaseAACSB: Analytic Skills17. The department chair is out of town at a conference and you, as t

20、he assistant department chair, find yourself besieged by dozens of students needing permission to get into a very popular (but closed) class. Student arrivals are governed by the Poisson distribution with a mean of 5 minutes. Telling the students that they cant get into the closed class takes about

21、3 minutes, and this average is exponentially distributed. About how many students are waiting outside your office door and in your office?a. 0.5b. 1.0c. 1.5d. 2.0Answer: cReference: Alternative Waiting LinesDifficulty: ModerateKeywords: waiting, single channel, single phaseAACSB: Analytic Skills18.

22、The department chair is out of town at a conference and you, as the assistant department chair, find yourself besieged by dozens of students needing permission to get into a very popular (but closed) class. Student arrivals are governed by the Poisson distribution with a mean of 5 minutes. Telling t

23、he students that they cant get into the closed class takes about 3 minutes, and this average is exponentially distributed. About how long does it take a student to wait in line and receive your valuable service?a. 0.125 minutesb. 0.075 hoursc. 4.5 minutesd. 7.5 minutesAnswer: dReference: Alternative

24、 Waiting LinesDifficulty: ModerateKeywords: waiting, single channel, single phase, systemAACSB: Analytic Skills19. The bank manager of a busy downtown location found herself unable to find good teller help so she invested in an ATM to handle the routine withdrawals that tended to occupy an inordinat

25、e amount the tellers time. Before she installed the ATM she found that customers were arriving on average every 2 minutes (Poisson distributed) and it took a teller 30 seconds (exponentially distributed) to process their request. The ATM is able to maintain a constant 30 second service time. What is

26、 the impact on system utilization?a. There is no change.b. Utilization has dropped by 15%.c. Utilization has dropped by 30%.d. Utilization has dropped by 45%.Answer: aReference: Alternative Waiting LinesDifficulty: DifficultKeywords: waiting, single channel, utilizationAACSB: Analytic Skills20. The

27、bank manager of a busy downtown location found herself unable to find good teller help so she invested in an ATM to handle the routine withdrawals that tended to occupy an inordinate amount the tellers time. Before she installed the ATM she found that customers were arriving on average every 2 minut

28、es (Poisson distributed) and it took a teller 30 seconds (exponentially distributed) to process their request. The ATM is able to maintain a constant 30 second service time. What is the impact on the number of customers waiting in line?a. There is no change.b. The ATM line is half as long as the tel

29、ler line.c. The ATM line is twice as long as the teller line.d. The ATM line is 25% shorter than the teller line.Answer: bReference: Alternative Waiting LinesDifficulty: DifficultKeywords: waiting, single channel, utilizationAACSB: Analytic Skills21. The bank manager of a busy downtown location foun

30、d herself unable to find good teller help so she invested in an ATM to handle the routine withdrawals that tended to occupy an inordinate amount the tellers time. Before she installed the ATM she found that customers were arriving on average every 60 seconds (Poisson distributed) and it took a telle

31、r 20 seconds (exponentially distributed) to process their request. The ATM is able to maintain a constant 30 second service time. What is the impact on the waiting time for the customers?a. There is no change.b. The wait in the ATM line is 50% shorter than the wait in the teller line.c. The wait in

32、the ATM line is 50% higher than the wait in the teller line.d. The wait in the ATM line is 25% shorter than the teller line.Answer: cReference: Alternative Waiting LinesDifficulty: DifficultKeywords: waiting, single channel, utilizationAACSB: Analytic Skills22. One advantage of simulation modeling is:a. it allows the user to conduct a “what if” analysis