University of Bahrain
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A Queuing Model for Determining the Optimal-Mix of ATMs AND POS terminals in a Commercial Bank: An Implication to the Cash-less Policy in Nigeria

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dc.contributor.author Onuche, Agada P.
dc.contributor.author Korve, Kenneth N.
dc.contributor.author Kazeem, Raifu
dc.date.accessioned 2018-08-01T05:37:24Z
dc.date.available 2018-08-01T05:37:24Z
dc.date.issued 2018-05
dc.identifier.issn 2384-4795
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/2053
dc.description.abstract In the bid to actualizing the cashless policy in Nigeria, this study criticized the multiplication of Automated Teller machines (ATM) in commercial banks as recommended by most authors and emphasized the role of the Point -of -Sale terminals (POS) in reducing queue lengths and long waiting times of customers in banks. The study succeeded in formulating easy to use models for converting the number of ATMs in a bank into Optimal-Mix of ATMs and POSs. This was done via the M/G/1 queue modeling methodology. The models were applied to three commercial banks in Kaduna State, Nigeria namely; Bank I, Bank II and Bank III with 4,3 and 2 ATMs respectively. The Optimal ATM-POS Mix determined for these banks are respectively ;( 1 ATM, 2 POS), (0 ATM, 2 POS) and (2 ATM, 0 POS). The study recommends that in actualizing the cashless policy, the Central Bank of Nigeria should make frantic effort in directing commercial Banks to apply the methodology of this study, in converting their current ATMs into Optimal Mix of ATMs and POSs. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/ *
dc.subject Queue
dc.subject Service
dc.subject Cash-less
dc.title A Queuing Model for Determining the Optimal-Mix of ATMs AND POS terminals in a Commercial Bank: An Implication to the Cash-less Policy in Nigeria en_US
dc.type Article en_US
dc.identifier.doi http://dx.doi.org/10.12785/IJCTS/050105
dc.volume 05
dc.issue 01
dc.pagestart 39
dc.pageend 47
dc.source.title International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle IJCTS


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