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OPTIMAL STRATEGIES AND PRICING ANALYSIS IN M/M/1 QUEUES WITH A SINGLE WORKING VACATION AND MULTIPLE VACATIONS

机译:单一工作度假和多个假期的M / M / 1队列中的最佳策略和定价分析

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This paper considers the customers' equilibrium and socially optimal joining-balking behavior in single-server Markovian queues with a single working vacation and multiple vacations. Arriving customers decide whether to join the system or balk based on the system states and a linear reward-cost structure, which incorporates the desire of customers for service and their dislike to wait. We consider that the system states are almost unobservable and fully unobservable, respectively. For these two cases, we first analyze the stationary behavior of the system, and get the equilibrium strategies of the customers and compare them to socially optimal balking strategies using numerical examples. We also study the pricing problem that maximizes the server's profit and derive the optimal pricing strategy. Finally, the social benefits of the almost and fully unobservable queues are compared by numerical examples.
机译:本文将客户的均衡和社会最佳的加入行为与单一服务器Markovian队列中的客户均衡和社会最佳的加入行为进行了单一的工作假期和多个假期。 到达客户决定是否基于系统状态和线性奖励 - 成本结构加入系统或BALK,其中包括客户的服务和他们不喜欢等待的愿望。 我们认为系统状态几乎是不可观察和完全不可观察的。 对于这两种情况,我们首先分析系统的静止行为,并获得客户的均衡策略,并使用数值示例将它们与社会最佳的废物策略进行比较。 我们还研究了定价问题,最大化服务器的利润并导出最佳定价策略。 最后,通过数值例子比较了几乎和完全不可观察的队列的社会效益。

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