A branch office of a large engineering firm has one on-line terminal connected to a central computer system for 16 hours each day. Engineers drive to the branch office to use the terminal to make routine calculations with an average exponential distribution of 30 minutes per use. The daily arrival pattern of engineers is random (Poisson) with an average of 20 persons. The branch manager is starting to receive complaints from the engineers about the length of time many of them have to wait to use the terminal. Question: 1. What is A and u measured in per hour intervals? 2. On the average, how many minutes does each engineer have to wait? 3. Using increments of 0.1 hours, what would be the least value of u so that the waiting time will be not exceed 30 minutes?

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter12: Queueing Models
Section12.5: Analytic Steady-state Queueing Models
Problem 9P
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A branch office of a large engineering firm has one on-line terminal connected to a central computer
system for 16 hours each day. Engineers drive to the branch office to use the terminal to make routine
calculations with an average exponential distribution of 30 minutes per use. The daily arrival pattern of
engineers is random (Poisson) with an average of 20 persons.
The branch manager is starting to receive complaints from the engineers about the length of time many
of them have to wait to use the terminal.
Question:
1. What is and u measured in per hour intervals?
2. On the average, how many minutes does each engineer have to wait?
3. Using increments of 0.1 hours, what would be the least value of u so that the waiting time will be
not exceed 30 minutes?
Transcribed Image Text:A branch office of a large engineering firm has one on-line terminal connected to a central computer system for 16 hours each day. Engineers drive to the branch office to use the terminal to make routine calculations with an average exponential distribution of 30 minutes per use. The daily arrival pattern of engineers is random (Poisson) with an average of 20 persons. The branch manager is starting to receive complaints from the engineers about the length of time many of them have to wait to use the terminal. Question: 1. What is and u measured in per hour intervals? 2. On the average, how many minutes does each engineer have to wait? 3. Using increments of 0.1 hours, what would be the least value of u so that the waiting time will be not exceed 30 minutes?
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