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Esmaeil Keyvanshokooh
Esmaeil Keyvanshokooh
Mays Business School, Texas A&M University
Verified email at tamu.edu - Homepage
Title
Cited by
Cited by
Year
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
7042017
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
3212016
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
2592017
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
1492013
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
792018
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
692015
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
392023
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
222021
An optimization-based approach for the healthcare districting under uncertainty
SM Darmian, M Fattahi, E Keyvanshokooh
Computers & Operations Research 135, 2021
182021
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
162022
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
11*2024
Online Resource Allocation with Personalized Learning
M Zhalechian, E Keyvanshokooh, C Shi, MP Van Oyen
Operations Research, 2022
102022
Data-Driven Hospital Admission Control: A Learning Approach
M Zhalechian, E Keyvanshokooh, C Shi, MPV Oyen
Operations Research, 2023
8*2023
Contextual Bandits with Budgeted Information Reveal
K Gan, E Keyvanshokooh, X Liu, S Murphy
https://arxiv.org/abs/2305.18511, 2023
32023
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
32015
Safe Reinforcement Learning with Contextual Information: Theory and Application to Personalized Comorbidity Management
J Cao, E Keyvanshokooh, T Liu
Available at SSRN 4583667, 2023
12023
Mitigating the COVID-19 pandemic through data-driven resource sharing
E Keyvanshokooh, M Fattahi, K A Freedberg, P Kazemian
Naval Research Logistics, 2023
12023
Personalized Data-Driven Learning and Optimization: Theory and Applications to Healthcare
E Keyvanshokooh
12021
A Novel Scenario Generation Technique for a Stochastic Supply Chain Network
E Kabir, R Shafaei, E Keyvanshokooh
6th International Conference of Iranian Operations Research Society, 2013
12013
Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration
X Liu, K Gan, E Keyvanshokooh, S Murphy
arXiv preprint arXiv:2402.01995, 2024
2024
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