Distributionally robust optimization of an emergency medical service station location and sizing problem with joint chance constraints K Liu, Q Li, ZH Zhang Transportation research part B: methodological 119, 79-101, 2019 | 132 | 2019 |
Capacitated disassembly scheduling under stochastic yield and demand K Liu, ZH Zhang European Journal of Operational Research 269 (1), 244-257, 2018 | 70 | 2018 |
Testing facility location and dynamic capacity planning for pandemics with demand uncertainty K Liu, C Liu, X Xiang, Z Tian European journal of operational research 304 (1), 150-168, 2023 | 53 | 2023 |
The efficiency, equity and effectiveness of location strategies in humanitarian logistics: A robust chance-constrained approach K Liu, H Zhang, ZH Zhang Transportation Research Part E: Logistics and Transportation Review 156, 102521, 2021 | 37 | 2021 |
Modelling, analysis and improvement of an integrated chance-constrained model for level of repair analysis and spare parts supply control W Liu, K Liu, T Deng International Journal of Production Research 58 (10), 3090-3109, 2020 | 26 | 2020 |
Robust design of a strategic network planning for photovoltaic module recycling considering reclaimed resource price uncertainty Q Li, K Liu, ZH Zhang IISE Transactions 51 (7), 691-708, 2019 | 10 | 2019 |
Column-and-constraint-generation-based approach to a robust reverse logistic network design for bike sharing S Huang, K Liu, ZH Zhang Transportation Research Part B: Methodological 173, 90-118, 2023 | 7 | 2023 |
Detecting the occurrence times and locations of multiple traffic crashes simultaneously with probe vehicle data Z Wang, K Liu, L Zhu, H Jiang Transportation research part C: emerging technologies 126, 103014, 2021 | 5 | 2021 |
Multi-period stochastic programming for relief delivery considering evolving transportation network and temporary facility relocation/closure K Liu, L Yang, Y Zhao, ZH Zhang Transportation Research Part E: Logistics and Transportation Review 180, 103357, 2023 | 3 | 2023 |
Intrinsic Mode Decomposition and Combined Deep Learning Prediction of Urban Rail Transit Passenger Flow at Variable Time Scales G ZHU, X SUN, R YANG, K LIU, Y WEI, B WU 电子与信息学报 45 (12), 4421-4430, 2023 | 1 | 2023 |
An outer approximation algorithm for capacitated disassembly scheduling problem with parts commonality and random demand K Liu, M Wang, ZH Zhang Large Scale Optimization in Supply Chains and Smart Manufacturing: Theory …, 2019 | 1 | 2019 |
A dynamic emergency network planning model with data-driven distributionally robust probabilistic constraints Q Li, L Qin, K Liu Advances in Urban Engineering and Management Science Volume 1, 139-148, 2022 | | 2022 |
Prediction and Allocation of Water Resources in Lanzhou L Tang, S Lin, Z Wang, K Liu The International Conference on Natural Computation, Fuzzy Systems and …, 2022 | | 2022 |
Prediction and Analysis of Chinese Water Resource: A System Dynamics Approach Q Zhou, T Yang, Y Jiao, K Liu INFORMS International Conference on Service Science, 197-211, 2021 | | 2021 |