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Statistical Analysis Of The Queuing System In A Bus Terminal
[A CASE STUDY OF NEKEDE BUS TERMINAL] -
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The need to reduce the length of queue (waiting time) forms the basis of this research. This project work centers on the queuing system witnessed at the Nekede bus terminal; and a single serve queuing system was adopted in the analysis. The basic aim and objectives of this research is to identify the distribution of the arrival and service and finding out if increasing the number services (terminal) would tend to reduce the waiting time in the system. Different probability distribution where used to analyze the data which lead to the computing of the queuing statistics with busy time to be 0.73 and idle time to be 0.27, number of vehicle in the system to be 3, number vehicle in queue to be 2, expected waiting time in system to be 0.23 mins and expected waiting time in queue to be 0.17 mins. And also the total number of vehicle served to be 190 within 695 minutes. In conclusion, the researcher finds out that the arrival of buses follows a Poisson distribution as well as exponential service times. And also since there is almost 0 queue (i.e. Ï<1), there is no need for more servers in the system.
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CHAPTER ONE - [ Total Page(s): 5 ]Queuing theory is generally considered a branch of
operations research because the results are often used when making
business decisions about the resources needed to provide service. It is
applicable in a wide variety of situations that they may be encountered
in business, commerce, industry, public service and engineering.
Applications are frequently port and telecommunication. Queuing theory
is directly applicable to intelligent transportation systems, call
centers, and traffic ... Continue reading---
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CHAPTER ONE - [ Total Page(s): 5 ]Queuing theory is generally considered a branch of
operations research because the results are often used when making
business decisions about the resources needed to provide service. It is
applicable in a wide variety of situations that they may be encountered
in business, commerce, industry, public service and engineering.
Applications are frequently port and telecommunication. Queuing theory
is directly applicable to intelligent transportation systems, call
centers, and traffic ... Continue reading---
ABSRACT -- [Total Page(s) 1]
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ABSRACT -- [Total Page(s) 1]
Page 1 of 1