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An Application of Queuing Theory to ATM Service Optimization: A Case Study

机译:排队论在ATM服务优化中的应用:案例研究

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Unmanaged queues are detrimental to the gainful operation of service systems and results in a lot of other managerial problems. This paper applies queuing theory to determine optimal service level for a case ATM base on a customer-defined criterion of wait time not exceeding eight (8) minutes. In pursuance of this, the prevailing operation characteristics of the case ATM as a queuing system where defined. Direct non-participatory observation and questionnaire were engaged to record time measurements and primary data. Measurements were taken on arrival times and service times of customers who arrived at the terminal within the hours of 8:00 am to 4:00 pm. The Chi-squared Goodness of Fit test was performed on collected data. This established the interarrival times at the case ATM as exponentially distributed. The M/M/s queuing model therefore best illustrates the ATM queuing system of the case bank. A queuing theory based decision support system was developed as a result and applied to analyse and suggest improvement in waiting time. Two ATMs at a service rate of 0.60 customers per minute is found to be optimal for the case bank albeit waiting time are found to be relatively higher during the hours of 11:00am to 1:00pm and month endings. The research thus reveals that although queuing theory is applicable in finding optimal service levels, waiting time might still be lengthy because of external factors. Service unavailability was observed to be a contributory factor to queue formation at the case ATM. A routine maintenance regime should be actively implemented in curtailing such problems. For short term queue management however, backup-staffs could be engaged during peak periods to handle any additional demand instead of the alternative of installing the rather capital intensive ATM which might be of less utility for most business hours. Queue management should also be made an active part of the bank’s overall strategic queue management processes. Keywords: Queuing Theory, Waiting Time, Service Rate, Arrival Rate, ATM, Optimal Service Level
机译:非托管队列不利于服务系统的正常运行,并导致许多其他管理问题。本文采用排队论,根据客户定义的等待时间不超过八(8)分钟的标准,确定案例ATM的最佳服务水平。为此,定义了作为排队系统的案例ATM的主要操作特性。直接进行非参与性观察和问卷调查以记录时间测量和原始数据。在上午8:00至下午4:00的时间内对到达终端的客户的到达时间和服务时间进行了测量。对收集的数据进行卡方拟合优度检验。这就确定了案例ATM的到达时间是按指数分布的。因此,M / M / s排队模型最好地说明了案例库的ATM排队系统。结果,开发了一种基于排队论的决策支持系统,并将其用于分析和建议等待时间的改善。对于每分钟0.60个客户的服务速率,发现两个ATM对于案例银行是最佳的,尽管发现在11:00 am至1:00 pm以及月末期间的等待时间相对较长。因此,研究表明,尽管排队理论适用于寻找最佳服务水平,但由于外部因素,等待时间可能仍然很长。服务不可用性被认为是案例ATM队列形成的一个重要因素。减少此类问题应积极实施例行维护制度。但是,对于短期队列管理,可以在高峰时段聘用后备人员来处理任何其他需求,而不是安装资本密集型ATM的替代方案,因为它在大多数工作时间内效用较低。队列管理也应该成为银行整体战略队列管理流程的积极组成部分。关键字:排队论,等待时间,服务率,到达率,ATM,最佳服务水平

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