If the average arrival rate is 10 per hour, and the average time it takes to help a customer is 5 minutes, then:
Group of answer choices
No customer will ever have to wait: we can help more customers per hour than arrive
Utilization is less than 100%: we can help more customers per hour than arrive, but we may have a queue form and customers might have to wait..
None of the other answers are correct
There can never be queue: we can help more customers per hour than arrive
Assuming M/M/1 Queuing Model
Average arrival rate = 10/hr
Average Service rate = 1 per minutes = 20/hr
Server Utilization = 10/20 = 0.5 = 50%
Which means system is stable
Probability of 1 customer in system is P1= = 0.5 x 0.5 = 0.25
Probability more than 1 customer in queue = 1-P1 = 1-0.25 = 0.75
Now let us look at options
Option 1: As there is a probability of 0.75, that there can be 2 or more customers in queue. Customer may have to wait, hence option 1 is false.
Option 2: Yes, utilzation is less than 100% we got 50% and we can help more customers per hour than current situation but they may have to wait which is also true. Hence, over all we can conclude that this statement is Correct.
Remaining options are also incorrect
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