The Stability Analysis of a Double-X Queuing Network Occurring in the Banking Sector
We model a common teller–customer interaction occurring in the Ghanaian banking sector via a Double-X queuing network consisting of three single servers with infinite-capacity buffers. The servers are assumed to face independent general renewal of customers and independent identically distributed ge...
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doaj-48446cf36e24432d9be1895badbc197f2021-08-26T14:02:25ZengMDPI AGMathematics2227-73902021-08-0191957195710.3390/math9161957The Stability Analysis of a Double-X Queuing Network Occurring in the Banking SectorHong Zhang0Saviour Worlanyo Akuamoah1Wilson Osafo Apeanti2Prince Harvim3David Yaro4Paul Georgescu5School of Economics and Management, Changzhou Institute of Technology, Changzhou 213032, ChinaDepartment of Mathematics and Statistics, Ho Technical University, Ho Volta Region P.O. Box HP 217, GhanaFaculty of Science, University of Education, Winneba P.O. Box 25, GhanaDepartment of Mathematics and Statistics, University of Ottawa, Ottawa, ON K1N 6N5, CanadaDepartment of Mathematics and Statistics, School of Applied Sciences and Technology, Cape Coast Technical University, Cape Coast P.O. Box DL 50, GhanaDepartment of Mathematics, Technical University of Iaşi, Bd. Copou 11A, 700506 Iaşi, RomaniaWe model a common teller–customer interaction occurring in the Ghanaian banking sector via a Double-X queuing network consisting of three single servers with infinite-capacity buffers. The servers are assumed to face independent general renewal of customers and independent identically distributed general service times, the inter-arrival and service time distributions being different for each server. Servers, when free, help serve customers waiting in the queues of other servers. By using the fluid limit approach, we find a sufficient stability condition for the system, which involves the arrival and service rates in the form of a set of inequalities. Finally, the model is validated using an illustrative example from a Ghanaian bank.https://www.mdpi.com/2227-7390/9/16/1957Double-X cascade networkLyapunov functionfluid limit approachinteracting server |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hong Zhang Saviour Worlanyo Akuamoah Wilson Osafo Apeanti Prince Harvim David Yaro Paul Georgescu |
spellingShingle |
Hong Zhang Saviour Worlanyo Akuamoah Wilson Osafo Apeanti Prince Harvim David Yaro Paul Georgescu The Stability Analysis of a Double-X Queuing Network Occurring in the Banking Sector Mathematics Double-X cascade network Lyapunov function fluid limit approach interacting server |
author_facet |
Hong Zhang Saviour Worlanyo Akuamoah Wilson Osafo Apeanti Prince Harvim David Yaro Paul Georgescu |
author_sort |
Hong Zhang |
title |
The Stability Analysis of a Double-X Queuing Network Occurring in the Banking Sector |
title_short |
The Stability Analysis of a Double-X Queuing Network Occurring in the Banking Sector |
title_full |
The Stability Analysis of a Double-X Queuing Network Occurring in the Banking Sector |
title_fullStr |
The Stability Analysis of a Double-X Queuing Network Occurring in the Banking Sector |
title_full_unstemmed |
The Stability Analysis of a Double-X Queuing Network Occurring in the Banking Sector |
title_sort |
stability analysis of a double-x queuing network occurring in the banking sector |
publisher |
MDPI AG |
series |
Mathematics |
issn |
2227-7390 |
publishDate |
2021-08-01 |
description |
We model a common teller–customer interaction occurring in the Ghanaian banking sector via a Double-X queuing network consisting of three single servers with infinite-capacity buffers. The servers are assumed to face independent general renewal of customers and independent identically distributed general service times, the inter-arrival and service time distributions being different for each server. Servers, when free, help serve customers waiting in the queues of other servers. By using the fluid limit approach, we find a sufficient stability condition for the system, which involves the arrival and service rates in the form of a set of inequalities. Finally, the model is validated using an illustrative example from a Ghanaian bank. |
topic |
Double-X cascade network Lyapunov function fluid limit approach interacting server |
url |
https://www.mdpi.com/2227-7390/9/16/1957 |
work_keys_str_mv |
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