Követés
Gar Goei Loke
Gar Goei Loke
Associate Professor, Durham University
E-mail megerősítve itt: durham.ac.uk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Decision-driven regularization: A blended model for predict-then-optimize
GG Loke, Q Tang, Y Xiao
Available at SSRN 3623006, 2022
25*2022
The analytics of bed shortages: Coherent metric, prediction, and optimization
J Xie, GG Loke, M Sim, SW Lam
Operations Research 71 (1), 23-46, 2023
222023
Intraday scheduling with patient re-entries and variability in behaviours
M Zhou, GG Loke, C Bandi, ZQG Liau, W Wang
Manufacturing & Service Operations Management 24 (1), 561-579, 2022
212022
Strategic workforce planning under uncertainty
P Jaillet, GG Loke, M Sim
Operations Research 70 (2), 1042-1065, 2022
202022
Strategic manpower planning under uncertainty
P Jaillet, GG Loke, M Sim
Available at SSRN, 2019
172019
Risk-based manpower planning: A tractable multi-period model
P Jaillet, GG Loke, M Sim
Available at SSRN, 2018
62018
Exploiting hidden convexity for optimal flow control in queueing networks
C Bandi, GG Loke
Exploiting Hidden Convexity for Optimal Flow Control in Queueing Networks …, 2018
62018
Inventory-responsive donor-management policy: A tandem queueing network model
T Zhu, NTB Yeo, SY Gao, GG Loke
Manufacturing & Service Operations Management 25 (4), 1585-1602, 2023
42023
Joint capacity allocation and job assignment under uncertainty
P Wang, YF Lim, GG Loke
Available at SSRN 4054332, 2024
22024
Prescriptive Analytics for Queue Optimization: An Optimization-based Paradigm for Modelling Queues
C Bandi, GG Loke, P Wang, T Zhu
Available at SSRN 3190874, 2018
12018
Operationalizing smart charging: A robust optimization interpretation of flexibility vs uncertainty
L Punt, Y Ghiassi-Farrokhfal, GG Loke
Available at SSRN, 2024
2024
Optimizing Early Discharge: Trade-Offs between Capacity and Readmissions
T Zhu, Z Lou, J Xie, GG Loke
Available at SSRN 4672287, 2023
2023
Optimize-via-Predict: Realizing out-of-sample optimality in data-driven optimization
GG Loke, T Zhu, R Zuo
arXiv preprint arXiv:2309.11147, 2023
2023
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