Prof. Little's Formulae | Average no. of customers in queue | Time spent in the system and queue

[@nyasha767]

Thank you so much Doctor. For the first time i can really understand these balance equations. Thanks so much again. I just came from the first video you gave on this.

[@dr.madhusudhanaraocuddapah9352]

Thanks for your feedback. Also go through my video on Birth-Death Process.

[@nyasha767]

@@dr.madhusudhanaraocuddapah9352 That's great Doctor. Much appreciated, thank you. I'm watching from the University of Zimbabwe, Southern Africa.

[@ameydhimte_c5956]

Thanks a lot sir for this video. Tomorrow is my exam and you saved me🙏🙏🙌🙌

[@dr.madhusudhanaraocuddapah9352]

Most welcome

[@Anuparna_Gangopadhyay]

Thank you sir..😊

[@dr.madhusudhanaraocuddapah9352]

Keep watching

[@blanche3529]

Hi Doctor, Thank you so much for the video. I just didn't understand when you were explaining the expected number of customers in the queue at 19:02. Why is the client receiving the service denoted as λ/μ? Thanks in advance

[@dr.madhusudhanaraocuddapah9352]

Since the arrival of customers is probabilistic, expected no. of customers is the average number of people who enter a Queuing system per unit time. The arrival rate is 'Lambda' and service rate is 'Mue'. The ratio is the utilization factor which indicates the proportion of time the server is busy.