Business Management

Waiting Line model: noe: The service pose must be greater than the arrival vagabond, that is, ???. 1. If , ??? the fronting variant would eventually grow in?nitely large. 2. Before using the formulas, examine to be sure that ?? ?. 1.Dollar bank is considering opening a drive-through windowpane for customer service. Managements estimate of arrival rate 12 per hour and the teller staff at the window can service at the rate of one every(prenominal) three minutes. Assuming Poisson arrivals and Exponential service and FCFS rule. Find out Av. exercise of the teller. Av. no. in the waiting line. Av.No.in the system. Av.waiting duration in the line. Av.waiting magazine in the system. Probability of serving three or slight customers billhook: Poisson arrivals, Exponential service, FCFS, Single channel, Large No. of customers (infinite bug population) and No limit to the queue indicates M1 application. = 15 and =20. * a) Av. utilization of the teller. * b) Av. No. in the waiting line. E.g., A technical expert hire to assist 4 technicians in project. Advising tasks by the expert eon consuming and ranges widely. On an average each request for advice takes 1 hr. Technicians require advice on an average of once each day. This delegacy each technician can work without advice for 7 hrs.

1. How many technician, on average, are waiting for advice? (find service factor x) 2. What is the average time that a technician has to wait for advice?(waiting time W) 3. What is the probability that a technician has to wait in line for advice? 1.N-No. of units in the population source, M = No. of service channels, U = Average time between unit service require. X = Service factor, T = Av. service time Note: No. of customers (technicians) is finite. Hence apply M4. N = 4, M = 1, T=1 and U = 7 Service factor 2. L = Av.No of units in the line, N-No. of units in the population source, U = Av.time between unit service requirt. F= Efficiency factor= (1-percentage... If you want to get a to the full essay, order it on our website: Orderessay

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