服务时间依赖于某一类的两类排队系统的分析

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED
Sara Sasaninejad, Joris Walraevens, Arnaud Devos, Sabine Wittevrongel
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引用次数: 0

摘要

大多数排队模型及其分析都有丰富的历史,并且遵循一个不断增加的通用性和复杂性的过程。在本文中,我们引入了一个新的模型,即多类排队模型,其中服务时间依赖于其中一个类的存在。我们的模型是由道路交通驱动的,在道路交通中,队列中重型车辆的存在减慢了整个系统,或者相反,紧急车辆的存在可能会加快服务速度。我们施加的具体假设是,每个客户的服务时间取决于在服务时系统中是否至少有一个该特定类别的客户。虽然我们研究了一个相当简单的离散时间模型,但我们表明分析并不是直截了当的。此外,数值示例表明,系统中特定客户的影响可能导致整个系统的大幅减速(或者相反,加速)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of a two-class queueing system with service times dependent on the presence of a certain class

Analysis of a two-class queueing system with service times dependent on the presence of a certain class

Most queueing models and their analysis have a rich history and follow a process of increased generality and complexity. In this paper, we introduce a new model, namely a multiclass queueing model where service times depend on the presence of one of the classes. Our model is motivated by road traffic, where the presence of heavy vehicles in a queue slows down the entire system, or, in contrast, where the presence of emergency vehicles may speed up the service. The specific assumption we impose is that the service time of each customer depends on whether at least one customer of that particular class is present in the system at the time of service. Although we study a fairly simple discrete-time model, we show that analysis is not straightforward. Furthermore, numerical examples expose that the impact of particular customers in the system can lead to a substantial slow down (or, in contrast, speed up) of the entire system.

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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
36
审稿时长
>12 weeks
期刊介绍: This peer reviewed journal publishes original and high-quality articles on important mathematical and computational aspects of operations research, in particular in the areas of continuous and discrete mathematical optimization, stochastics, and game theory. Theoretically oriented papers are supposed to include explicit motivations of assumptions and results, while application oriented papers need to contain substantial mathematical contributions. Suggestions for algorithms should be accompanied with numerical evidence for their superiority over state-of-the-art methods. Articles must be of interest for a large audience in operations research, written in clear and correct English, and typeset in LaTeX. A special section contains invited tutorial papers on advanced mathematical or computational aspects of operations research, aiming at making such methodologies accessible for a wider audience. All papers are refereed. The emphasis is on originality, quality, and importance.
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