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首页> 外文期刊>International Journal of Services and Operations Management >Maximum entropy approach for an unreliable M~x/G/1 queueing system with Bernoulli vacation, restricted admission and delayed phase repair under N-policy
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Maximum entropy approach for an unreliable M~x/G/1 queueing system with Bernoulli vacation, restricted admission and delayed phase repair under N-policy

机译:N策略下不可靠的M〜x / G / 1排队系统的最大熵方法,具有伯努利休假,受限的入场和延迟的相位修复

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摘要

The present article deals with a bulk arrival queueing model with an unreliable server and modified Bernoulli vacation under N-policy. The repairman who restores the server requires a setup time before starting his job. The repair to the failed server is provided in K-phases where first phase of repair is essential and remaining (K-1) phases are optional. The service time, vacation time, setup time and repair time of each phase are assumed to be independent and general distributed. The queue size distribution and other performance indices are obtained by employing the generating function and supplementary variable techniques. Further, the principle of maximum entropy is used to derive the approximate formulae for the waiting time of the customers. We perform the sensitivity analysis in order to observe the effects of different system parameters on various performance indices.
机译:本文讨论了一种带有不可靠服务器的批量到达排队模型,并在N策略下修改了Bernoulli假期。恢复服务器的修理工在开始工作之前需要准备时间。对故障服务器的修复是在K阶段中进行的,其中第一阶段的修复是必不可少的,其余(K-1)阶段是可选的。假设每个阶段的服务时间,休假时间,准备时间和维修时间是独立的,并且是通用分布的。队列大小分布和其他性能指标是通过使用生成函数和补充变量技术获得的。此外,最大熵原理用于推导客户等待时间的近似公式。我们执行灵敏度分析,以便观察不同系统参数对各种性能指标的影响。

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