Yunan Liu

Sun, K., Liu, Y., & Li, X. (2024). Mail back or in-store dropoff? Optimal design of product-exchange policies in omnichannel retailing systems. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 125. https://doi.org/10.1016/j.omega.2023.103024

Chen, X., Liu, Y., & Hong, G. (2023, June 12). An Online Learning Approach to Dynamic Pricing and Capacity Sizing in Service Systems. OPERATIONS RESEARCH. https://doi.org/10.1287/opre.2020.612

Chen, X., Liu, Y., & Hong, G. (2023, June 12). An Online Learning Approach to Dynamic Pricing and Capacity Sizing in Service Systems. OPERATIONS RESEARCH. https://doi.org/10.1287/opre.2020.0612

Sun, K., Liu, Y., & Li, K. (2023). Energy harvesting cognitive radio networks with strategic users: A two-class queueing model with retrials. COMPUTER COMMUNICATIONS, 199, 98–112. https://doi.org/10.1016/j.comcom.2022.12.017

Xie, Z., Lu, L., Wang, H., Su, B., Liu, Y., & Xu, X. (2023, May 22). Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning. HUMAN FACTORS, Vol. 5. https://doi.org/10.1177/00187208231177574

Sun, X., & Liu, Y. (2023, April 19). Optimal interventions of infectious disease. NAVAL RESEARCH LOGISTICS. https://doi.org/10.1002/nav.22114

Nambiar, S., Mayorga, M. E., & Liu, Y. (2023). Routing and staffing in emergency departments: A multiclass queueing model with workload dependent service times. IISE TRANSACTIONS ON HEALTHCARE SYSTEMS ENGINEERING, 13(1), 46–61. https://doi.org/10.1080/24725579.2022.2100522

Sun, K., Liu, Y., & Li, X. (2022). Make waiting not to seem like waiting: Capacity management of waiting-area entertainment. OPERATIONS RESEARCH LETTERS, 50(6), 745–752. https://doi.org/10.1016/j.orl.2022.10.015

Wang, Z., Liu, Y., & Fang, L. (2022, March 31). Pay to activate service in vacation queues. PRODUCTION AND OPERATIONS MANAGEMENT. https://doi.org/10.1111/poms.13705

Li, K., Liu, Y., Wan, H., & Huang, Y. (2021). A discrete-event simulation model for the Bitcoin blockchain network with strategic miners and mining pool managers. COMPUTERS & OPERATIONS RESEARCH, 134. https://doi.org/10.1016/j.cor.2021.105365

Li, X., Zhang, B., & Liu, Y. (2021). A little bit flexibility on headway distribution is enough: Data-driven optimization of subway regenerative energy. INFORMATION SCIENCES, 554, 276–296. https://doi.org/10.1016/j.ins.2020.12.030

Yang, J., Huang, J., & Liu, Y. (2021, July 25). Mind your own customers and ignore the others: Asymptotic optimality of a local policy in multi-class queueing systems with customer feedback. IISE TRANSACTIONS. https://doi.org/10.1080/24725854.2021.1952358

Liu, Y., Sun, X., & Hovey, K. (2021, March 8). Scheduling to Differentiate Service in a Multiclass Service System. OPERATIONS RESEARCH. https://doi.org/10.1287/opre.2020.2075

Sun, X., & Liu, Y. (2021). Staffing many-server queues with autoregressive inputs. NAVAL RESEARCH LOGISTICS, 68(3), 312–326. https://doi.org/10.1002/nav.21960

Li, K., Liu, Y., Wan, H., & Zhang, L. (2020). CAPTURING MINER AND MINING POOL DECISIONS IN A BITCOIN BLOCKCHAIN NETWORK: A TWO-LAYER SIMULATION MODEL. 2020 WINTER SIMULATION CONFERENCE (WSC), pp. 3152–3163. https://doi.org/10.1109/WSC48552.2020.9383980

Wang, J., Wang, Z., & Liu, Y. (2020). Reducing Delay in Retrial Queues by Simultaneously Differentiating Service and Retrial Rates. OPERATIONS RESEARCH, 68(6), 1648–1667. https://doi.org/10.1287/opre.2019.1933

Cao, P., He, S., Huang, J., & Liu, Y. (2020, December 3). To Pool or Not to Pool: Queueing Design for Large-Scale Service Systems. OPERATIONS RESEARCH. https://doi.org/10.1287/opre.2019.1976

Liu, R., Kuhl, M. E., Liu, Y., & Wilson, J. R. (2019). Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes. INFORMS JOURNAL ON COMPUTING, 31(2), 347–366. https://doi.org/10.1287/ijoc.2018.0828

Guo, Y., Liu, Y., & Pei, R. (2018). Functional law of the iterated logarithm for multi-server queues with batch arrivals and customer feedback. ANNALS OF OPERATIONS RESEARCH, 264(1-2), 157–191. https://doi.org/10.1007/s10479-017-2529-9

Aras, A. K., Chen, X. Y., & Liu, Y. A. (2018). Many-server Gaussian limits for overloaded non-Markovian queues with customer abandonment. Queueing Systems, 89(1-2), 81–125. https://doi.org/10.1007/s11134-018-9575-0

Liu, Y. (2018). Staffing to Stabilize the Tail Probability of Delay in Service Systems with Time-Varying Demand. OPERATIONS RESEARCH, 66(2), 514–534. https://doi.org/10.1287/opre.2017.1678

Kim, G., Hodgson, T. J., King, R. E., Liu, Y. N., & Kay, M. G. (2017). Allocation heuristics for high-altitude long- endurance UAV image intelligence platforms. Military Operations Research, 22(3), 5–19.

Liu, Y., & Whitt, W. (2017). Stabilizing performance in a service system with time-varying arrivals and customer feedback. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 256(2), 473–486. https://doi.org/10.1016/j.ejor.2016.07.018

Liu, Y., Whitt, W., & Yu, Y. (2016). Approximations for Heavily Loaded G/GI/n plus GI Queues. NAVAL RESEARCH LOGISTICS, 63(3), 187–217. https://doi.org/10.1002/nav.21688

He, B., Liu, Y., & Whitt, W. (2016). STAFFING A SERVICE SYSTEM WITH NON-POISSON NON-STATIONARY ARRIVALS. PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 30(4), 593–621. https://doi.org/10.1017/s026996481600019x

Guo, Y., & Liu, Y. (2015). A law of iterated logarithm for multiclass queues with preemptive priority service discipline. QUEUEING SYSTEMS, 79(3-4), 251–291. https://doi.org/10.1007/s11134-014-9419-5

Liu, Y., & Whitt, W. (2014). Algorithms for Time-Varying Networks of Many-Server Fluid Queues. INFORMS JOURNAL ON COMPUTING, 26(1), 59–73. https://doi.org/10.1287/ijoc.1120.0547

Liu, Y., & Whitt, W. (2014). MANY-SERVER HEAVY-TRAFFIC LIMIT FOR QUEUES WITH TIME-VARYING PARAMETERS. ANNALS OF APPLIED PROBABILITY, 24(1), 378–421. https://doi.org/10.1214/13-aap927

Liu, Y., & Whitt, W. (2014). STABILIZING PERFORMANCE IN NETWORKS OF QUEUES WITH TIME-VARYING ARRIVAL RATES. PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 28(4), 419–449. https://doi.org/10.1017/s0269964814000084

Liu, Y., & Whitt, W. (2012). A many-server fluid limit for the G(t)/GI/s(t) + GI queueing model experiencing periods of overloading. OPERATIONS RESEARCH LETTERS, 40(5), 307–312. https://doi.org/10.1016/j.orl.2012.05.010

Liu, Y., & Whitt, W. (2012). Stabilizing Customer Abandonment in Many-Server Queues with Time-Varying Arrivals. OPERATIONS RESEARCH, 60(6), 1551–1564. https://doi.org/10.1287/opre.1120.1104

Liu, Y., & Whitt, W. (2012). The G(t)/GI/s(t)+GI many-server fluid queue. QUEUEING SYSTEMS, 71(4), 405–444. https://doi.org/10.1007/s11134-012-9291-0