From computer science to service science: queues with human customers and servers
From computer science to service science: queues with human customers and servers
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从计算机科学到服务科学：与人类客户和服务器一起排队
DOI：
10.1016/j.comnet.2014.03.014
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发表时间：
2014
影响因子：
5.6
通讯作者：
H. Takagi
中科院分区：
文献类型：
--
作者：
Junya Yamazaki;and Shinsuke Nakajima;井田 歩美，猪下 光;H. Takagi
在计算机通信网络发展的初期，Leonard Kleinrock教授从几个方面做出了重要贡献。其中之一是将排队理论巧妙地应用于通信网络的性能评估。排队理论在人类顾客和服务员作为宝贵资源的现代服务系统中仍然有用。然而，需要一些新的理论发展来应对人性化服务系统。在这篇文章中，排队理论的潜力在新兴服务科学的范围内进行了讨论。我们先从20世纪80年代初克莱因罗克教授实验室的快照开始。然后，我们回顾了Kleinrock提出的性能指标，即功率，因为它决定了服务系统的最佳输入率。作为医疗保健服务科学的一个例子，我们展示了通过利特尔定律和M/M/ M和M/G/∞队列网络对医院产科患者流的建模。
Abstract Professor Leonard Kleinrock has made key contributions during the initial stage of development in computer communication networks from several aspects. One of them is the ingenious application of queueing theory to the performance evaluation of communication networks. Queueing theory is still useful in contemporary service systems having human customers and servers as precious resources. However, some new theoretical development is needed to cope with human service systems. In this article, the potential of queueing theory is discussed in the scope of emerging service science. We begin with a snapshot of Professor Kleinrock’s laboratory in the early 1980s. We then review the performance metric called power worked out by Kleinrock as it determines the optimal input rate in a service system. As an example of service science for healthcare, we show modeling of obstetric patient flow in a hospital by means of Little’s law and a network of M/M/m and M/G/∞ queues.