Permutation flowshop group scheduling with position-based learning effect H Qin, ZH Zhang, D Bai Computers & Industrial Engineering 92, 1-15, 2016 | 36 | 2016 |
Data-driven approximation schemes for joint pricing and inventory control models H Qin, D Simchi-Levi, L Wang Management Science 68 (9), 6591-6609, 2022 | 31 | 2022 |
A new approach for vehicle routing with stochastic demand: Combining route assignment with process flexibility K Ledvina, H Qin, D Simchi-Levi, Y Wei Operations Research 70 (5), 2655-2673, 2022 | 18 | 2022 |
Distributionally robust omnichannel stocking decisions in quick fulfillment systems L Chen, R Jin, H Qin, D Simchi-Levi, Z Zhang Available at SSRN 3383881, 2019 | 8 | 2019 |
Trading safety stock for service response time in inventory positioning H Qin, D Simchi‐Levi, R Ferer, J Mays, K Merriam, M Forrester, A Hamrick Production and Operations Management 31 (12), 4462-4474, 2022 | 7 | 2022 |
Provably sample-efficient inventory control H Qin, D Simchi-Levi, R Zhu Proceedings of Machine Learning Research vol 144, 1-22, 2022 | 2 | 2022 |
Sailing through the Dark: Provably Sample-Efficient Inventory Control H Qin, D Simchi-Levi, R Zhu Available at SSRN 4652347, 2023 | 1 | 2023 |
Online Resource Allocation with Non-Stationary Customers X Zhang, H Qin, MC Chou arXiv preprint arXiv:2401.16945, 2024 | | 2024 |
Pricing Analytics with Shape-Restricted Demands J Liu, H Qin, MC Chou Available at SSRN 4643942, 2023 | | 2023 |
Solving Large-Scale Vehicle Routing Problems with Unsplit Demands via Limited Information H Hu, H Qin, D Simchi-Levi Available at SSRN 4271787, 2022 | | 2022 |
Stochastic Control Through a Modern Lens: Applications in Supply Chain Analytics and Logistical Systems H Qin Massachusetts Institute of Technology, 2022 | | 2022 |
Near-optimal data-driven approximation schemes for joint pricing and inventory control models H Qin Massachusetts Institute of Technology, 2018 | | 2018 |