Performance optimization of queueing systems with perturbation realization
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DOI: 10.1016/j.ejor.2011.07.039
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References listed on IDEAS
- Laoucine Kerbache & T. van Woensel & N. Vandaele & Herbert Peremans, 2008. "Vehicle routing with dynamic travel times: A queueing approach," Post-Print hal-00465127, HAL.
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Cited by:
- Stavros Lopatatzidis & Jasper Bock & Gert Cooman & Stijn Vuyst & Joris Walraevens, 2016. "Robust queueing theory: an initial study using imprecise probabilities," Queueing Systems: Theory and Applications, Springer, vol. 82(1), pages 75-101, February.
- O’Reilly, Małgorzata M., 2014. "Multi-stage stochastic fluid models for congestion control," European Journal of Operational Research, Elsevier, vol. 238(2), pages 514-526.
- Xia, Li, 2014. "Service rate control of closed Jackson networks from game theoretic perspective," European Journal of Operational Research, Elsevier, vol. 237(2), pages 546-554.
- Xia, Li & Shihada, Basem, 2015. "A Jackson network model and threshold policy for joint optimization of energy and delay in multi-hop wireless networks," European Journal of Operational Research, Elsevier, vol. 242(3), pages 778-787.
- Xiangqian Xu & Zhexuan Zhou & Yajie Dou & Yuejin Tan & Tianjun Liao, 2018. "Sustainable Queuing-Network Design for Airport Security Based on the Monte Carlo Method," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
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Keywords
Queueing; Perturbation analysis; Perturbation realization factors; Performance potential; Sensitivity-based optimization;All these keywords.
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