尼日利亚商业银行排队效率与绩效优化

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引用次数: 8

摘要

本研究的目的是利用TORA优化方法对商业银行排队效率进行优化比较分析。基于尼日利亚拉各斯州表现最好的两家银行和至少两家表现最好的银行中的四家商业银行的样本量,该研究采用了Tora优化软件的输出来显示基于排队效率的每家银行的表现。测量的变量包括到达率(λ)和服务率(µ)。他们分析了客户满意度的同步效率,因为与每个银行的排队效率有关,这些银行在商业银行之间使用排队效率绩效的数量进行了比较,例如;排队和系统中客户的平均数量,每个客户在排队和系统中花费的平均时间以及系统空闲的概率。结果显示,A银行的流量强度最高,其客户到达率与银行官员更快的服务交付率不匹配。银行的高峰时段是每天上午10:30至11:30,而下午12:30至1:30是非高峰时段。该研究针对各银行如何提高排队效率提出了建议,因为这关系到大多数客户。关键词:排队效率,高峰时段,交通强度,排队系统,到达率,服务率
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimisation of Queueing Efficiency and Performance of Nigeria Commercial Banks
The objective of this research is to carry out an optimisation of the comparative analysis of the queuing efficiency of commercial banks using the TORA Optimisation Approach. Based on a sample size of four commercial banks of the top two performing banks and least two performing banks in Lagos State Nigeria, the research adopted the output from the Tora Optimisation Software to show the performance of each of the banks based on queuing efficiency. The variables measured include arrival rate ( λ ) and service rate ( µ ). They were analysed for synchronised efficiency in customer satisfaction as relating to the queuing efficiency of each of the banks which were compared among commercial banks using number of queuing efficiency performances such as; the average number of customers on queue and in the system, average time each customer spends on queue and in the system and the probability of the system being idle. The results showed that Bank A had the highest traffic intensity with its customer arrival rate not being matched with faster service delivery rate by bank officials. Banks peak period with high influx of customers was 10:30 to 11:30am and between 12:30pm to 1:30pm daily is off peak period. The research made recommendation on how the queuing efficiency of each banks, can be improved upon due to its concern to most customers. Keywords: Queuing Efficiency, Peak period, Traffic Intensity, Queuing system, Arrival Rate, Service Rate
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