具有两种并行客户和不完全故障的流体模型的平衡分析

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL
Yitong Zhang, Xiuli Xu, Pei Zhao, Mingxin Liu
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引用次数: 0

摘要

本文探讨了在有两种并行客户和不完全故障的流体队列中的个体均衡行为和社会最优策略。假设工作状态和不完全故障状态交替出现在缓冲区中。与线性收入和支出结构不同,在完全可观测的情况下,可以构建指数效用函数来获得均衡逡巡阈值。此外,基于更新过程和线性常微分方程的标准理论,还推导出了稳态概率分布和相应的预期社会效益。此外,在流体接受全局最优策略的条件下,讨论了合理的入场费策略。最后,通过数值比较明确说明了不同系统参数对入口费和预期社会效益的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equilibrium analysis of the fluid model with two types of parallel customers and incomplete fault
This article considers the individual equilibrium behavior and socially optimal strategy in a fluid queue with two types of parallel customers and incomplete fault. Assume that the working state and the incomplete fault state appear alternately in the buffer. Different from the linear revenue and expenditure structure, an exponential utility function can be constructed to obtain the equilibrium balking thresholds in the fully observable case. Besides, the steady-state probability distribution and the corresponding expected social benefit are derived based on the renewal process and the standard theory of linear ordinary differential equations. Furthermore, a reasonable entrance fee strategy is discussed under the condition that the fluid accepts the globally optimal strategies. Finally, the effects of the diverse system parameters on the entrance fee and the expected social benefit are explicitly illustrated by numerical comparisons.
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
审稿时长
>12 weeks
期刊介绍: The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
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