5. Consider a bank with three tellers. An average of 90 customers per hour arrive at th bank and wait in a single line for an idle teller. The average time it takes to serve a customer is 2.0 minutes. Assume that inter-arrival times and service times are exponential. Determine 1. The expected number of customers present in the bank. 2. The expected length of time a customer spends in the bank. 3. The fraction of time that a particular teller is idle.
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- Consider a bank with two tellers. An average of 2 customers per hour arrive at the bank and wait in a single línea for an idle teller. The average time it takes to serve a customer is triangular (x1=1, y1=0), (x2=4, y2=2/3) Assume that inter-arrival times and services time is exponential. Develop the service (ST) equation? a. Y=2x-22/6B. Y=2x-22/3C. Y=22/3x-2/3D. Y=2x-3/22Please do not give solution in image format thanku 1. In a queueing system, customers arrive once every 4 seconds (standard deviation = 4) and services take 3 seconds (standard deviation = 5.1). What is the average time a customer wiill spend in the system (in seconds)?Consider a Poisson queue with random arrivals at the rate of 12 customers per hour and the following steady- state probabilities: po = 1/3, p1 = 1/2, p2 = 1/6, and p, = 0 for n = 3,4,5, ... . What is the mean (or effective) arrival rate in customers per hour for this queuing system? Consider drawing a rate diagram to assist in your solution. O 10 12 O none of the other choices O 2
- Assume that at a bank teller window the customers arrive in their cars at the average rate oftwentyperhouraccordingtoaPoissondistribution.Assumealso thatthebanktellerspendsan average of two minutes per customer to complete a service, and the service time isexponentiallydistributed.Customers, whoarrivefromaninfinitepopulation,areservedonafirst-come-first-servedbasis,andthereisno limittopossiblequeuelength.a.Whatistheexpectedwaitingtimeinthesystempercustomer?b.Whatisthemeannumberofcustomerswaitinginthesystem?c.Whatistheprobability of zerocustomersinthesystem?d.Whatvalueisthetrafficintensity?Let a queuing system have the Kendall model (M/M/1) : (GD/infinity/infinity). Assume A < µ. Does W, for the service discipline FIFO equal W, for the service discipline SIRO? O I have no idea. no yes It cannot be determined.In queuing theory and modeling, if 1/μ represents mean service time. Whatdoes μ represent? Service rateInterarrival time Arrival rate None
- is queuing theory Five drilling machines at Al Hamriya steel is maintained by Lumina maintenance service with 2 service Engineers. The drilling machines require Maintenance at the of 20 per hour. The engineers fix machine in 2.4 mins every time it goes out of service: 1. What is the probability that no drilling machine needs service ?Suppose the waiting time at a certain checkout counter is bi-modal. With probability 0.85, the waiting time follows an exponential distribution with a mean waiting time of four minutes. With probability 0.15, the waiting time equals 20 minutes. a) Compute the mean and median waiting time at the checkout counter. b) Compute the variance of the waiting time at the checkout counter. c) Compute the probability that an individual customer waits longer than 5 minutes at the checkout counter.In short, define three cases in which the first-in, first-out (FIFO) concept in queuing analytics is not valid.
- Consider an M/G/1/GD/∞/∞ queuing system in which anaverage of 10 arrivals occur each hour. Suppose that eachcustomer’s service time follows an Erlang distribution, withrate parameter 1 customer per minute and shape parameter 4.a Find the expected number of customers waiting inline.b Find the expected time that a customer will spend inthe system.c What fraction of the time will the server be idle?n the ticket counter , customer arrivers in the queue according to Poisson process with 15 / hour mean rate . The total time taken to serve a customer has an exponential distribution with 150 seconds of mean . What is the average waiting time of a customer ( both in Queue and System ) ? Queue - 125Sec, System - 225Se Queue 250 Sec , System 325 Sec Queue 250 Sec , System 400 Sec Queue 225 Sec , System 125 SecA. Know some of the basic queue performance measure B. Identify the relationships between queues and some statistical distribution