Robert Olney's Barbershop is a popular haircutting and styling salon near the campus of the University of New Haven. Four barbers work full-time and spend an average of 15 minutes on each customer. Customers arrive all day long at an average rate of 12 per hour. Arrivals tend to follow the Poisson distribution, and service times are negative exponentially distributed. The software described in this quantitative module may be used to answer the following questions. a) The probability that the shop is empty is (round your response to four decimal places). b) The average number of customers in the barber shop is c) The average time spent in the shop is hours (round your response to three decimal places). d) The average time that a customer waits to be called to the barber chair is hours (round your response to three decimal places). e) The average number waiting to be served is customers (round your response to two decimal places). f) Robert is thinking of adding a fifth barber. The utilization rate of his shop will be customers (round your response to two decimal places). (round your response to four decimal places).

Consider the table attached below:Assuming an M/M/1 setup, a service rate of 18 customers every 10 minutes, and a traffic intensity of 0.90.Assume a probability density function characterized by the exponential distribution.i). Compute the corresponding variates.ii). How robust is the above derived density function?

Town Taxi uses three dispatchers to handle requests for service and to dispatch the cabs. The telephone calls that are made to Town Taxi use a common number. When all dispatchers are busy, the caller hears a waiting song until the first dispatchers becomes available. The telephone system will assign available dispatcher to the waiting callers according to FCFS. Assume that the arrival of calls follows a Poisson distribution, with an average of 35 calls per hour. Also assume that the time that each dispatcher spends with a customer follows Exponential distribution and each dispatcher takes an average of 3 minutes with each caller. 15.What is the average time in minutes that a customer spends in the system? 3.8 mins 7 mins 4.8 mins 8.9 mins

A car mechanic, Carlos, can install new mufflers at an average rate of 3 every hour (following an exponential distribution). Customers needing this service arrive at the shop (following a Poisson distribution) on an average of 2 per hour. They are served on a first-in, first-out basis and come from the very large (almost infinite) population of possible buyers. Calculate the following operating characteristics of the service system: a. The probability there are no cars in the system. b. The average number of cars waiting in line. c. The average number of cars in the system. d. The average time a car spends waiting in line. e. The average time a car spends in the system.

3 The M/M/1 Queue During peak time, customers arrive at a bank teller window (with a single teller) at a rate of 23 per hour, where the teller can serve 25 per hour. This problem will allow you to investigate (via a simple extension of the mean queue size formula) the effect of highly-variable service times on our familiar queuing metrics. The diagram below stylizes the queuing system: Waiting Service Calculate the marginal probability P (T > oT). a. O b. 0.25 O c. 0.63 O d. 0.75 Calculate the mean time a customer spends at the bank (waiting time plus service time) in minutes. O a. 30 minutes O b. 27.6 minutes O c. 2.4 minutes O d. 7 minutes