进入非平稳排队系统的控制

A. Nozari
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引用次数: 1

摘要

本文考虑了具有5个服务器的排队系统的顾客进入控制问题。假设到达形成一个具有周期速率的非平稳泊松过程。假设服务时间呈指数分布,参数与时间无关。考虑的成本结构与Naor相同。数值证明,与平稳情况一样,客户每单位时间的平均期望效益是临界点的单峰函数。而且,社会临界点比个人临界点小。这些建议使用搜索技术来寻找社会临界点。结果表明离散版的斐波那契搜索的成功应用。
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Control of entry to a nonstationary queuing system
In this article the control of entry of customers to a queuing system with s servers is considered. It is assumed that the arrivals form a nonstationary Poisson process with a periodic rate. The service times are assumed to be exponentially distributed with a parameter independent of time. The cost structure considered is the same as that of Naor. It is demonstrated numerically that, like the stationary cases, the average expected benefit of customers per unit of time is a unimodal function of the critical point. And, also, the social critical point is smaller than the individual critical point. These suggest the use of a search technique for finding the social critical point. The results show successful application of the discrete version of the Fibonacci search.
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