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In A Commercial Bank, The Management Has Established That 20 Customers Arrive In The Banking Hall Per Hour While The Bank Serves A Customer In Two Minutes

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Crispino | 09:25 Mon 14th Mar 2016 | Business & Finance
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In a commercial bank, the management has established that 20 customers arrive in the banking hall per hour while the bank serves a customer in two minutes
( i ) What is the probability that a client will be waiting in the bank to be served
(ii) Assuming that all the customers who come at the banking hall are served by the cashiers only, what is the probability that the cashiers will be idle
(iii)what is the probability that 10 people will be waiting for service
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Question Author
course work for me and am stuck. no time
well hey crispino
yes this is a question on queuing theory
and you can say - yes it is !

and there are various models - the arriveal is gonna be Poisson with a mu of three I think
and you will be told if the service is constant ( 2 mins )
and you then construct the model from scratch OR

you read the course text and apply the formula they give you

you certainly dont have time: you have posted this in finance
and it should be science where a math modeller lurks ( Jim 360)

If you really ARE doing a banking course all they want you do to do is see that 20 customers in 60 mins gives an av or 3 ( so mu = 3 I think )
On your figures
1 Nil
2 Definite
3 Nil
ie if 20 customers come per hour thats 3 mins each - they are served in 2 so there should be no queues.
Hi carp

You have taken the 'we are all dead in the long run' view which is true

BUT the first bit says twenny arrive in sixty and that 'says' the arrival is random ( in time ) but follow a poisson distribution

this is a single queue model ( unlike MacD's which you can also model )
and service isusually taken to be random and poisson as well
but here it seems constant

God I know so much about the construction of the model I should be able to do it

part 111 if it is 10 or more then you have to look at a table ( m=3), x>10
but the term that crispino doesnt have time to look at is
e to the minus 3 / factorial 10
and that is priddy small - about one in a million

this has even prompted me to go and look it up !

Crispino can you tell me which course you are doing ?
Question Author
Thanks Guys
Three scenarios to consider, Crispino:

1. The customers arrive conveniently at three minute intervals. None of them wait; the cashiers are idle for one minute in every three.

2. The customers arrive all at once. Assuming there is only one cashier (and you do not say), the first does not wait; the second waits two minutes; the third four minutes, etc. The cashiers are idle for the final twenty minutes.

3. The customers arrive at intervals somewhere between (1) and (2). That's where it gets tricky and that's where Peter's theory comes in.
4. They all decide to bank online because service is so bad.
:))
As the question says 'cashiers', is it possible to answer this question without knowing what number 'cashierS' refers to?

If there were 20 cashiers - no one would wait, lots would be idle....
come one guys quieten down

it is a standard M/M/1 question. - oops that mu isnt 3 that is lambda
but that is AB for you

and it is a math modelling question or operations engineering question so I am not sure why he put it here - perhaps he didnt have time to read it

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