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Hanzhang Qin
Hanzhang Qin
Assistant Professor, NUS
Verified email at nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Permutation flowshop group scheduling with position-based learning effect
H Qin, ZH Zhang, D Bai
Computers & Industrial Engineering 92, 1-15, 2016
362016
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
312022
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
182022
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
82019
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
72022
Provably sample-efficient inventory control
H Qin, D Simchi-Levi, R Zhu
Proceedings of Machine Learning Research vol 144, 1-22, 2022
22022
Online Resource Allocation with Non-Stationary Customers
X Zhang, H Qin, MC Chou
arXiv preprint arXiv:2401.16945, 2024
2024
Sailing through the Dark: Provably Sample-Efficient Inventory Control
H Qin, D Simchi-Levi, R Zhu
Available at SSRN 4652347, 2023
2023
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
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Articles 1–12