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SHEN Xiaobei Faculty:Associate Professor Department of Management Science University of Science and Technology of China Discipline:Operations Management (OM) Office:Room 701-B, School of Management Email:fayshen@ustc.edu.cn Joined University of Science and Technology of China in 2016 |
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Education
Shanghai Jiao Tong University, Bachelor, 2005-2009 Hong Kong University of Science and Technology, Ph.D., 2009-2013
Working Experience City University of Hong Kong, Postdoctoral Fellow, 2013-2016 University of Science and Technology of China, Tenure-track Associate Professor (Assistant Professor), 2016-2018
University of Science and Technology of China, Associate Professor, 2019-now
Research Interest Supply chain and inventory management, dynamic pricing, dynamic programming, contract design
Publication 7. Xiaobei Shen, Yimin Yu. Capacity allocation with multiple suppliers and multiple demand classes. Production and Operations Management (POM, UTD 24), Forthcoming. 6. Xiaobei Shen, Lina Bao, Yimin Yu, Zhongsheng Hua. Managing supply chains with expediting and multiple demand classes. Production and Operations Management, 2018, Published online. 5. Xiaobei Shen, Lina Bao, Yimin Yu. Coordinating inventory and pricing decisions with general price-dependent demands. Production and Operations Management, 2018, 27(7), 1355-1367. 4. Xiaobei Shen, Zoie Shui-Yee Wong, Man Ho Ling, David Goldsman, Kwok-Leung Tsui. Comparison of algorithms to simulate disease transmission. Journal of Simulation, 2017, 11(3), 285-294. 3. Xiaobei Shen, Kwok-Leung Tsui, William H. Woodall, Changliang Zou. Self-starting monitoring scheme for Poisson count data with varying population sizes. Technometrics, 2016, 58(4), 460-471. 2. Xiaobei Shen, Fugee Tsung, Changliang Zou. A new multivariate EWMA scheme for monitoring covariance matrices. International Journal of Production Research, 2014, 52(10), 2834-2850. 1. Xiaobei Shen, Fugee Tsung, Changliang Zou, Wei Jiang. Monitoring Poisson count data with probability control limits when sample sizes are time-varying. Naval Research Logistics, 2013, 60(8), 625-636.
Funding Project 71701190 supported by National Natural Science Foundation of China, 2018.01-2020.12, PI. Project 71731010 supported by National Natural Science Foundation of China, 2018.01-2022.12, Co-PI.
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