1:Customers arriving at a bank follow an exponential distribution with a mean of 2.5 min, i.e.,
EXPO(2.5). The bank operates from 10am to 4pm every day. There are three types of services: ...
2:For the same bank above, suppose now customers will now arrive following EXPO(1.1), without
any change would the bank be able to handle the increased business without excessive customer
waiting? How many cashiers would the bank need now to serve the increased customers without
the queue getting longer and longer? You will need to change the model and re-run the
simulation. Again, make five runs and use the average for your conclusion.
3Manual simulation. In this exercise, you are asked to perform a manual simulation of a Bank
Teller System with one teller and six customers coming in for service and wait in a single queue.
The Time of Arrival (Minutes) and Service Time (Minutes) of the customers are given below.
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Hi, I'm an engineer in operations research. I'm familiar with simulations in Arena and I'm available to help you in this project. Please contact me for more details. Regards.
Hello there, This is a queing theory project. I am a statitiscs student i covered the same under a unit called stochastic processes. I'll be happy to handle it for you Is it an infinite or finite qeue?