Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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The exponential distribution is often used to model what in a queuing system?
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- A large insurance company maintains a central computing system that contains a variety of information about customer accounts. Insurance agents in a six-state area use telephone lines to access the customer information database. Currently, the company's central computer system allows three users to access the central computer simultaneously. Agents who attempt to use the system when it is full are denied access; no waiting is allowed. Management realizes that with its expanding business, more requests will be made to the central information system. Being denied access to the system is inefficient as well as annoying for agents. Access requests follow a Poisson probability distribution, with a mean of 38 calls per hour. The service rate per line is 23 calls per hour. (a) What is the probability that 0, 1, 2, and 3 access lines will be in use? (Round your answers to four decimal places.) P(0)= P(1)= P(2)= P(3)= (b) What is the probability that an agent will be denied access to…arrow_forwardState the assumptions of the basic single channel queuing model.(Model A or M/M/I)?arrow_forwardA. Know some of the basic queue performance measure B. Identify the relationships between queues and some statistical distributionarrow_forward
- What is an example of a elementary queuing process?arrow_forwardHow would you apply Queuing Analysis in the Engineering field?arrow_forward[Queuing Theory - Operation research] The take-out counter at an ice-cream parlor is serviced by one attendant. Customers arrive according to a Poisson process, at a mean arrival rate of 30 per hour. They are serviced on a FCFS basis, and because of the quality of the ice cream, they are willing to wait if necessary. The service time per customer appears to be exponentially distributed, with a mean of 1.5 minutes. Determine the following: (a) probability that the system is idle (b) average number of customers in the system (c) amount of time a customer should expect to wait before service (d) probability that a customer will have to spend more than 15 minutes in the queuearrow_forward
- 241. Failed mutual exclusion permits to perform one routine at a a. Location b. Time c. File d. Busarrow_forwardCustomers arrive randomly to an airport shoe-shine stand with only ONE attendant at a rate of 8 per hour. The average length of a shoe shine is 12 minutes. Assume that service times are exponentially distributed and that the queuing system model is (M/M/1):(GD/infinity/infinity). Does this queuing system have a steady state? It cannot be determined. Yes none of the other choices Noarrow_forwardExplain how waiting lines can develop even when the service time is a constant.arrow_forward
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