具有动态服务率的不可观测队列中的策略加入规则

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Shuangfeng Ma, Wei Guo
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引用次数: 1

摘要

本文考虑了一个具有可调服务率和战略客户的不可观测队列。建立了一个排队博弈论模型来捕捉服务器服务率与客户加入决策之间的交互作用。迭代和递归方法用于推导稳态分布和队列中的预期停留时间。我们分别在不可观测和部分不可观测队列的两种信息场景下获得了客户的均衡和社会最优加入策略。研究发现,在完全不可观测的队列中,最多有四种均衡连接策略,在几乎不可观测队列中,则有两种均衡连接战略。有趣的是,社会最优到达率介于最小和最大稳定均衡之间。因此,在大多数情况下,管理者需要收取一定的价格来诱导社会最优客户的行为。然而,如果实现了最低均衡,管理者就需要提供补贴,以最大限度地提高社会福利。不可观测队列$(m,N)$政策;均衡策略;社会福利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic joining rules in unobservable queues with dynamic service rate
This paper considers an unobservable queue with adjustable service rate and strategic customers. A queueing-game-theoretic model is built to capture the interaction between the server’s service rate and customers’ joining decisions. Iterative and recursive methods are used to derive the steady-state distribution and the expected sojourn time in the queue. We obtain customers’ equilibrium and socially optimal joining strategies under two information scenarios which are unobservable and partially unobservable queues, separately. It is found that there are four equilibrium joining strategies at most in the fully unobservable queue and two equilibrium joining strategies in the almost unobservable queue. Interestingly, the social optimal arrival rate is between the minimum and maximum stable equilibria. Thus, in most cases, managers need to charge a price to induce the social optimal customers’ behavior. However, if the minimum equilibrium is achieved, managers are required to provide a subsidy to maximize the social welfare. unobservable queue; $(m, N)$ policy; equilibrium strategy; social welfare.
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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