01이 칸의 논문
- Lead Time Prediction for Inventory Optimization With Machine Learning
- The Value of Blending—Managing Ameliorating Inventory Using Deep Reinforcement Learning
- Can Deep Reinforcement Learning Improve Inventory Management? Performance on Lost Sales, Dual-Sourcing, and Multi-Echelon Problems
- Real-Time Delivery Time Forecasting and Promising in Online Retailing: When Will Your Package Arrive?
- A Hidden Markov Model to Detect On-Shelf Out-of-Stocks Using Point-of-Sale Data
02같은 주제, 다른 방법
- Optimizing Inventory Placement for a Downstream Online Matching Problem
- Risk Aversion in a Data-Driven Multi-period Inventory Control Problem
- EXPRESS: Offline Learning and Optimization for Multi-product Inventory Management with Stockout-based Substitution
- EXPRESS: When Does Skewness Matter in Robust Inventory Management?
- Supply chain coordination under unknown demand distribution: Online learning and contracting
- Managing consumer stockpiling with Bayesian persuasion
- Operating distribution center networks at scale: Efficient formulations and policies
- Managing Multitier Inventory Networks with Expediting Under Normal and Disrupted Modes
- Multiplicity in Product Expiration Dates and Food Waste in Grocery Retail Stores
- Discretion in Automated Supermarket Replenishment: Censorship Bias and Self-Inflicted Stockouts