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dc.contributor.authorOngiri, Hudson Nyang’wara
dc.contributor.authorOrwa, George Otieno
dc.contributor.authorMuga, Zablon Maua
dc.date.accessioned2021-04-15T13:25:26Z
dc.date.available2021-04-15T13:25:26Z
dc.date.issued2019
dc.identifier.issn2456-1452
dc.identifier.urihttp://ir.jooust.ac.ke:8080/xmlui/handle/123456789/9488
dc.description.abstractIn queuing theory one deals with the mathematical analysis of the performance of queuing systems. In our daily lives customers encounter queues while seeking services in institutions. The increase in the number of customers has resulted to congestion at revenue collection points in Kenyan towns. There is therefore need to study the queuing systems to identify possible remedies. This study sought to fit a queuing model to bus park revenue collection point as a preliminary action in studying the congestion problem in Kisii town, Kenya. The study considered and collected data on the inter-arrival times, service times and the number of servers at Kisii Bus Park Revenue Collection Point. The inter-arrival and service times were plotted and compared to a plot of a theoretical exponential distribution. The inter-arrival times resembled a theoretical exponential distribution with a parameter 1.022 and the service times resembled a theoretical exponential distribution with a parameter 1.209. Further, Kolmogorov Smirnov and Anderson Darling goodness of fit tests were conducted to determine if the inter-arrival and service times were exponentially distributed. In both cases, the test statistics were less than the critical value. The study therefore established that the inter-arrival and the service times could be modeled as exponential hence Markovian. The revenue collection point used two servers. This study assumed that the servers followed the same service distribution. This study concluded that the inter-arrival and the service times had an exponential distribution and the queuing model used was M/M/2.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Statistics and Applied Mathematicsen_US
dc.subjectInter-arrival timesen_US
dc.subjectservice timesen_US
dc.subjectserveren_US
dc.subjectexponential distributionen_US
dc.subjectqueuing modelen_US
dc.titleFitting a Markovian Queuing Model to Bus Park Revenue Collection Point in Kisii Town, Kenyaen_US
dc.typeArticleen_US


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