2018
DOI: 10.9734/jerr/2018/v1i39830
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Modelling and Simulation of Deposit Slip Mode of Bank Cash Deposit Transactions Using Hierarchical Timed Coloured Petri-Nets

Abstract: Significant investments are being made yearly to improve service quality and delivery in banking systems to minimise customers' dissatisfactions with long waiting time due to overcrowding. However, most existing empirical studies to address this problem employed the method where the system was modelled and then developed a program that will simulate, analyse and validate the developed model. This paper conceptualised modelling bank cash deposit transactions characterised by Deposit Slip (DS) using Hierarchical… Show more

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Cited by 1 publication
(2 citation statements)
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“…So, it can be deduced that queues can build up if servers are highly utilized, which will lead to low productivity and can be connected to queues experienced on the days of the week, and this can also account for the long waiting time of customers in the system (average flow time). From the simulation result, it was discovered that queue length increases based on the increase in servers' utilization rate, which is in support of [5] which states that the higher the servers' utilization rate, the higher the customers' queue length.…”
Section: Simulation Analysis Of the Developed Htcpn Model For Restaur...supporting
confidence: 54%
See 1 more Smart Citation
“…So, it can be deduced that queues can build up if servers are highly utilized, which will lead to low productivity and can be connected to queues experienced on the days of the week, and this can also account for the long waiting time of customers in the system (average flow time). From the simulation result, it was discovered that queue length increases based on the increase in servers' utilization rate, which is in support of [5] which states that the higher the servers' utilization rate, the higher the customers' queue length.…”
Section: Simulation Analysis Of the Developed Htcpn Model For Restaur...supporting
confidence: 54%
“…Various systems such as restaurant industries, transport companies, banking sectors, telecommunication companies, health clinics, logistics, and airports can be modeled and simulated [9]. Simulation surpasses all other approaches for evaluating modeling scenarios and is thereby given more priority over others [5].…”
Section: Introductionmentioning
confidence: 99%