数学物理学报 ›› 2026, Vol. 46 ›› Issue (6): 2433-2450.

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$(m,N)$-策略下不中断多重休假 Bernoulli 反馈排队的性能分析与最优控制策略

朱芸1, 唐应辉1,*(), 余玅妙1, 刘琼琳2   

  1. 1 四川师范大学数学科学学院 成都 610068
    2 西安财经大学数学学院 西安 710100
  • 收稿日期:2025-07-02 修回日期:2025-09-16 出版日期:2026-12-26 发布日期:2026-08-14
  • 通讯作者: 唐应辉 E-mail:tangyh@sicnu.edu.cn
  • 基金资助:
    国家自然科学基金(71571127);教育部人文社会科学研究规划基金(24YJA630121);四川师范大学学科建设专项基金(XKZX2021-04)

Performance Analysis and Optimal Control Policy for a Uninterrupted Multiple Vacations and Bernoulli Feedback Queue Under the $(m,N)$-Policy

Yun Zhu1, Yinghui Tang1,*(), Miaomiao Yu1, Qionglin Liu2   

  1. 1 School of Mathematical Sciences, Sichuan Normal University, Chengdu 610068
    2 School of Mathematics, Xi'an University of Finance and Economics, Xi'an 710100
  • Received:2025-07-02 Revised:2025-09-16 Online:2026-12-26 Published:2026-08-14
  • Contact: Yinghui Tang E-mail:tangyh@sicnu.edu.cn
  • Supported by:
    NSFC(71571127);Humanities and Social Sciences Research Planning Fund of Ministry of Education(24YJA630121);Discipline Construction Special Fund Project of Sichuan Normal University(XKZX2021-04)

摘要:

该文研究一个在$(m,N)$-策略下不中断多重休假 Bernoulli 反馈的$M/G/1$排队系统, 其中当服务员休假归来时, 若系统中的顾客数达到或超过事先设定的较低阈值$m(\geq1)$时服务员立即启动系统. 当系统的启动完成后, 如果系统中的顾客数不小于另一个事先设定的较高阈值$N(\geq m)$时服务员立即开始服务直到系统再次变空. 利用随机分解定理得到了系统稳态队长的概率母函数和平均队长的显式表达式, 并探讨了稳态下服务员处于忙期和非忙期的概率、服务员连续休假次数等其他重要排队系统性能指标. 通过数值实例进一步进行了平均附加队长和系统空闲率对参数$m$, $N$、系统启动时间参数和服务员休假时间参数的敏感性分析. 最后, 应用更新报酬定理推导出系统长期单位时间内期望费用的目标函数, 并通过数值实例获得了使得系统期望费用最小的二维最优控制策略$(m^*,N^*)$, 同时分析了系统启动时间参数、服务员休假时间参数和顾客反馈率对系统期望费用和最优控制策略的影响.

关键词: $M/G/1$ 排队, 双阈值 $(m,N)$-策略, 不中断多重休假, Bernoulli 反馈, 最优控制策略

Abstract:

This paper studies an $M/G/1$ queueing system with Bernoulli feedback and uninterrupted multiple vacations under $(m,N)$-policy, in which the server immediately activates the system upon returning from vacation if the number of customers reaches or exceeds a predefined lower threshold $m(\geq 1)$. After the system startup is completed, the server begins service only if the number of customers is not less than a predefined upper threshold $N(\geq m)$, continuing until the system becomes empty again. Utilizing the stochastic decomposition theorem for the steady-state queue length distribution, explicit expressions for the probability generating function (PGF) and the average queue size are derived. Furthermore, other important queueing performance indicators of the system are also discussed, such as the probabilities of the server busy and non-busy period in the steady state, as well as the number of consecutive vacations taken by the server. Through numerical examples, sensitivity analyses are conducted to examine the effects of the parameters $m$, $N$, the startup time, and the server vacation time on the mean additional queue length and the system idle probability. Finally, the objective function of the long-run expected cost per unit time of the system is constructed by applying the renewal reward theorem. Numerical examples are presented to discuss the bi-level optimal control strategy $(m^*,N^*)$ that minimizes the long-run expected cost per unit time of the system, and the impact of system activation time, server vacation time and customer feedback rate on the expected cost and optimal control strategy are also analyzed.

Key words: $M/G/1$ queue, bi-level threshold $(m,N)$-policy, uninterrupted multiple vacation, Bernoulli feedback, optimal control policy

中图分类号: 

  • O226