Control charts for traffic intensity monitoring of Markovian multiserver queues-Reference-Cited by-同舟云学术

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Control charts for traffic intensity monitoring of Markovian multiserver queues

Published:2019-10-29 Issue:1 Volume:36 Page:354-364
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Cruz Frederico R. B.¹^ORCID,Quinino Roberto C.¹^ORCID,Ho Linda L.²^ORCID

Affiliation:

1. Departamento de EstatísticaUniversidade Federal de Minas Gerais Belo Horizonte Brazil

2. Departamento de Engenharia de ProduçãoUniversidade de São Paulo São Paulo Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2578

Reference51 articles.

1. Multi-objective performance improvements of general finite single-server queueing networks

2. Hybrid approach for buffer allocation in open serial production lines

3. Buffer allocation and preventive maintenance optimization in unreliable production lines

4. Traffic Intensity Estimation in Finite Markovian Queueing Systems

5. Estimation in a general bulk‐arrival Markovian multi‐server finite queue;Cruz FRB;Oper Res,2018

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A greedy post-processing strategy for multi-objective performance optimization of general single-server finite queueing networks;Soft Computing;2024-07-10

2. Change point estimation in anM/M/2queue with heterogeneous servers;Mathematics and Computers in Simulation;2023-10

3. Bayesian inference and prediction in an queueing system;Communications in Statistics - Theory and Methods;2022-05-24

4. Control Charts for the Expected System Size of Markovian Queues under F-policy;Quality Technology & Quantitative Management;2021-06-06

5. The Dynamic Adjusting Model of Traffic Queuing Time—A Monte Carlo Simulation Study;Applied Sciences;2020-09-12

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