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Cost optimisation of a discrete-time retrial queue with Bernoulli feedback and starting failure

机译:使用Bernoulli反馈和起始失败的离散时间重审队列的成本优化

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In this paper, we explore the performance characteristics of a discrete-time Geo/G/1 retrial queue with Bernoulli feedback where the server is subjected to starting failure. On the arrival of a customer, the server may either resume its service successfully with probability υ or may not resume its service successfully with probability ῡ = 1 − υ due to some faults which in turn force the server to repair and the customer may join the orbit. The service time, retrial time and repair time are general distributed. The purpose of this paper is two-fold. Firstly, we use generating function method and supplementary variable technique to derive expressions for system size, orbit size and other performance measures. Secondly, for a cost-effective system, we have found the optimal values of some critical system parameters such that the total system cost is minimised using particle swarm optimisation (PSO) technique . Finally, sensitivity analysis is also provided.
机译:在本文中,我们探讨了使用伯努利反馈的离散时间Geo / G / 1重新队列的性能特征,其中服务器遭受启动失败。在客户到达客户端,服务器可以成功恢复服务概率υ或可能不会以概率成功恢复其服务概率ῡ= 1 - υ由于某些故障,这反过来迫使服务器修复和客户可以加入轨道。服务时间,重试时间和修复时间是普遍的分布式。本文的目的是双重的。首先,我们使用生成功能方法和补充变量技术来获得系统大小,轨道大小和其他性能测量的表达式。其次,对于具有成本效益的系统,我们已经发现了一些关键系统参数的最佳值,使得使用粒子群优化(PSO)技术最小化总系统成本。最后,还提供了敏感性分析。

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