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An M/M/1/N Queueing Model with Retention of Reneged Customers and Balking

机译:M / M / 1 / N排队模型,保留了被拒绝的客户并拒绝了

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The concept of customer balking and reneging has been exploited to a great extent in recent past by the queuing modelers. Economically, if we see, the customer impatience (due to balking and reneging) leads to the loss of potential customers and thereby results into the loss in the total revenue. Taking into consideration this customers’ loss due to impatience, a new queuing model has been developed that deals with retention of reneged customers. According to this model, a reneged customer can be convinced in many cases by employing certain convincing mechanism to stay in the queue for completion of his service. Thus, a reneged customer can be retained in the queuing system with some probability (say, q) and it may leave the queue without receiving service with probability p (=1-q). This process is referred to as customer retention. We consider a single server, finite capacity queuing system with customer retention and balking in which the inter-arrival and service times follow negative-exponential distribution. The reneging times are assumed to be exponentially distributed. An arriving customer may not join the queue if there is at least one customer in the system, i.e. the customer may balk. The steady state solution of the model has been obtained. Some performance measures have been computed. The sensitivity analysis of the model has been carried out. The effect of probability of retention on the average system size has been studied. The numerical results show that the average system size increases proportionately and steadily as the probability of retention increases. Some particular cases of the model have been derived and discussed.
机译:排队建模者最近在很大程度上利用了禁止客户和拒绝客户的概念。从经济上看,如果我们看到的话,客户的不耐烦(由于退缩和退缩)会导致潜在客户的流失,从而导致总收入的损失。考虑到由于急躁而造成的客户流失,已开发出一种新的排队模型来处理保留的客户。根据此模型,在许多情况下,可以通过采用某些说服机制说服一位老顾客,以使其排队等候其服务的完成。因此,拒绝的客户可以某种可能性(例如q)保留在排队系统中,并且可能以概率p(= 1-q)离开队列而没有接收服务。此过程称为客户保留。我们考虑具有客户保留和拒绝功能的单个服务器,有限容量排队系统,其中到达时间和服务时间遵循负指数分布。假定退避时间呈指数分布。如果系统中至少有一个客户,则到达的客户可能不会加入队列,即该客户可能不愿意参加。已经获得了模型的稳态解。已经计算了一些性能指标。该模型的敏感性分析已经进行。研究了保留概率对平均系统大小的影响。数值结果表明,随着保留概率的增加,平均系统大小成比例且稳定地增加。该模型的一些特殊情况已经得到推导和讨论。

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