Question: Figure shows the printout from a program that analyses queues. The title 'M/M/3' is an abbreviation to show that the queue has random arrivals, random
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Input data of queuing example WM/3 Customer arrival rate (lambda) 20.000 Polsson Distribution Number of servers Service rate per server Distribution Mean service time Standard deviation Queue limit Customer population 8.000 Poisson 0.125 hour 0.125 hou Infinity Infinity Solution for queuing example MM3 with lambda-, 20 customers per hour and -: 8 customers per hour Utilisation factor (p) Average number of customers in the system (L)6.011 Average number of customers in the queue 3.511 Average time a customer in the system (W 0.301 Average time a customer in the queue (W 0.176 The probability that all servers are idle (P)0.004 The probability an arriving customer waits (P)0.702 -0.833 P1) 0.11236 P(2) 0.14045 P5)0.08128 P(9) 0.03920P(10 0.03266 P3) 0.11704 P4)0.09753 P7) 0.05644P(80.04704 P(6)0.06773 P 0.791736
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