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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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1.3 STATEMENT OF HYPOTHESIS
Ho: The arrival of buses follows Poisson distribution
H1:The arrival of buses does not follow Poisson
Distribution
Ho: The service times follow exponential distribution
H1:The service times does not follow exponential
Distribution.
1.4 SIGNIFICANCE OF STUDY
1. This study will be immense benefit to public and private sector to determine when to open another branch (terminal).
2.
It will be of immense benefit/guide to the management of Nekede bus
terminal and other bus terminal management to know the strategy/system
to adopt in reduction of waiting lines.
1.5 SCOPE OF STUDY
Queuing
system have a wide area of application in every field of human
endeavours. For purpose of this project research work, the study is
limited to Nekede bus terminal.
1.6 DEFINITION OF TERMS
Queues: can be define as items waiting for service
Queuing: is the study of queues.
Queue Discipline: represent the order in which customer
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ABSRACT - [ Total Page(s): 1 ]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 use ... Continue reading---
