AI vs. Human Buyers: A Study of Alibaba’s Inventory Replenishment System

Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems

(2022) Joren Gijsbrechts et al.   M&SOM-Manufacturing & Service Operations Management

A Practical End-to-End Inventory Management Model with Deep Learning

(2022) Meng Qi et al.   MANAGEMENT SCIENCE

Eliciting Human Judgment for Prediction Algorithms

(2021) Rouba Ibrahim et al.   MANAGEMENT SCIENCE

A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization

(2021) Afshin Oroojlooyjadid et al.   M&SOM-Manufacturing & Service Operations Management

On a Deterministic Approximation of Inventory Systems with Sequential Service-Level Constraints

(2021) Lai Wei et al.   OPERATIONS RESEARCH

1.79-Approximation Algorithms for Continuous Review Single-Sourcing Lost-Sales and Dual-Sourcing Inventory Models

(2021) Linwei Xin   OPERATIONS RESEARCH

Understanding the Performance of Capped Base-Stock Policies in Lost-Sales Inventory Models

(2020) Linwei Xin   OPERATIONS RESEARCH

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times

(2016) David A. Goldberg et al.   MATHEMATICS OF OPERATIONS RESEARCH

Optimality Gap of Constant-Order Policies Decays Exponentially in the Lead Time for Lost Sales Models

(2016) Linwei Xin et al.   OPERATIONS RESEARCH

Asymptotic Optimality of Order-Up-To Policies in Lost Sales Inventory Systems

(2008) Woonghee Tim Huh et al.   MANAGEMENT SCIENCE