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Time dependent solution of two stages M~X/G/1 queue model server vacation random setup time and balking with Bernoulli schedule

机译:两个阶段的时间依赖性解决方案M〜x / g / 1队列模型服务器假期随机设置时间和与Bernoulli计划的废物

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This paper analyzes a non-Markovian queueing model with setup time and Balking. The arrival pattern of customers is in batches according to compound Poisson process, but the customers are served one by one with first come first served basis. In this model, the server provides two stages of service such as that the service time for each customer follows general(arbitrary)distribution. Upon completion of a service the server may go for a vacation with probability p or stay back in the system to serve a next customer with probability 1 -- p, if any. In extention to this, one of the customers impatience called balking has been incorporated which reflects that a customer may decide to get into the system or not, due to impatience. And also we assume that at the end of a busy period, as soon as a batch of customers arrives, the server does not start giving service, but needs a setup time before actually starting its service of the first customer. We obtain the time dependent probability generating function in terms of their Laplace transforms and the corresponding steady state results explicitly. And also we derive the system performance measures like average number of customers in the queue and the average waiting time in closed form.
机译:本文分析了一个带有设置时间和废物的非马尔可夫排队模型。客户的到达模式根据复合泊松过程批量分批,但客户均以首先先获得送达客户。在该模型中,服务器提供了两个服务阶段,例如每个客户的服务时间遵循一般(任意)分发。在完成服务后,服务器可以使用概率P的假期,或者留在系统中,以提供具有概率1 - P的下一个客户,如果有的话。在延长方面,已经融合了一个叫做Balking的顾客不耐烦的人,这反映了客户可能决定进入系统,因为不耐烦。而且我们也假设在繁忙时期结束时,一批客户到达时,服务器无法开始提供服务,但需要在实际开始其服务的第一个客户之前的设置时间。我们在Laplace变换方面获得时间依赖性概率生成功能,并明确地确定相应的稳态结果。而且我们也派生了系统性能测量,如队列中的平均客户数量和封闭形式的平均等待时间。

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