Supply chain network design under uncertainty: A comprehensive review and future research directions K Govindan, M Fattahi, E Keyvanshokooh European Journal of Operational Research 263 (1), 108-141, 2017 | 816 | 2017 |
Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition E Keyvanshokooh, SM Ryan, E Kabir European Journal of Operational Research 249 (1), 76-92, 2016 | 341 | 2016 |
Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers M Fattahi, K Govindan, E Keyvanshokooh Transportation Research Part E: Logistics and Transportation Review 101, 176-200, 2017 | 289 | 2017 |
A dynamic pricing approach for returned products in integrated forward/reverse logistics network design E Keyvanshokooh, M Fattahi, SM Seyed-Hosseini, ... Applied Mathematical Modelling 37 (24), 10182-10202, 2013 | 160 | 2013 |
A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands M Fattahi, K Govindan, E Keyvanshokooh Computers & Operations Research, 2018 | 90 | 2018 |
Investigating replenishment policies for centralised and decentralised supply chains using stochastic programming approach M Fattahi, M Mahootchi, SM Moattar Husseini, E Keyvanshokooh, ... International Journal of Production Research 53 (1), 41-69, 2015 | 72 | 2015 |
Resource Planning Strategies for Healthcare Systems during a Pandemic M Fattahi, E Keyvanshokooh, D Kannan, K Govindan European Journal of Operational Research 304 (1), 192-206, 2023 | 70 | 2023 |
Online Advance Scheduling with Overtime: A Primal-Dual Approach E Keyvanshokooh, C Shi, MP Van Oyen Manufacturing & Service Operations Management 23 (1), 246-266, 2021 | 28 | 2021 |
An optimization-based approach for the healthcare districting under uncertainty SM Darmian, M Fattahi, E Keyvanshokooh Computers & Operations Research 135, 2021 | 26 | 2021 |
Coordinated and priority-based surgical care: An integrated distributionally robust stochastic optimization approach E Keyvanshokooh, P Kazemian, M Fattahi, MP Van Oyen Production and Operations Management, 2022 | 19 | 2022 |
Data-Driven Hospital Admission Control: A Learning Approach M Zhalechian, E Keyvanshokooh, C Shi, MPV Oyen Operations Research, 2023 | 15* | 2023 |
Contextual Learning with Online Convex Optimization: Theory and Application to Medical Decision-Making E Keyvanshokooh, M Zhalechian, C Shi, MP Van Oyen, P Kazemian Management Science (to appear), 2024 | 14* | 2024 |
Online Resource Allocation with Personalized Learning M Zhalechian, E Keyvanshokooh, C Shi, MP Van Oyen Operations Research, 2022 | 13 | 2022 |
Contextual bandits with budgeted information reveal K Gan, E Keyvanshokooh, X Liu, S Murphy International Conference on Artificial Intelligence and Statistics (AISTATS …, 2024 | 5 | 2024 |
Mitigating the COVID-19 pandemic through data-driven resource sharing E Keyvanshokooh, M Fattahi, K A Freedberg, P Kazemian Naval Research Logistics, 2023 | 3 | 2023 |
An Efficient planning model for cancer chemotherapy based on acuity level J Ansarifar, R Bijari, D Rahmani, E Keyvanshokooh The 11th International Industrial Engineering Conference (IIEC2015), 2015 | 3 | 2015 |
Hr-bandit: Human-ai collaborated linear recourse bandit J Cao, R Gao, E Keyvanshokooh arXiv preprint arXiv:2410.14640, 2024 | 2 | 2024 |
Online Uniform Allocation: Randomized Learning-Augmented Approximation Algorithms with Application to Digital Health X Liu, K Gan, E Keyvanshokooh, S Murphy arXiv preprint arXiv:2402.01995, 2024 | 1* | 2024 |
Safe Reinforcement Learning with Contextual Information: Theory and Applications J Cao, E Keyvanshokooh, T Liu Available at SSRN 4583667, 2023 | 1 | 2023 |
Personalized Data-Driven Learning and Optimization: Theory and Applications to Healthcare E Keyvanshokooh University of Michigan, Ann Arbor, 2021 | 1 | 2021 |