An efficient learning framework for multiproduct inventory systems with customer choices
Year of publication: |
2022
|
---|---|
Authors: | Gao, Xiangyu ; Zhang, Huanan |
Published in: |
Production and operations management : the flagship research journal of the Production and Operations Management Society. - London : Sage Publications, ISSN 1937-5956, ZDB-ID 2151364-8. - Vol. 31.2022, 6, p. 2492-2516
|
Subject: | online learning | demand censoring | inventory control | multiproduct | Lagerhaltungsmodell | Inventory model | Theorie | Theory | Lagermanagement | Warehouse management | Mehrproduktfertigung | Multiproduct production | Lernprozess | Learning process | E-Learning | E-learning | Konsumentenverhalten | Consumer behaviour |
-
A nonparametric learning algorithm for a stochastic multi-echelon inventory problem
Yang, Cong, (2024)
-
Bandits Atop Reinforcement Learning : Tackling Online Inventory Models With Cyclic Demands
Gong, Xiao-Yue, (2021)
-
Online learning for dual-index policies in dual-sourcing systems
Tang, Jingwen, (2024)
- More ...
-
Joint Learning and Optimization for Multi-product Pricing under a General Cascade Click Model
Gao, Xiangyu, (2020)
-
Gao, Xiangyu, (2022)
-
A Hybrid Sampling Based and Gradient Descent Method with Applications in Inventory Management
Wang, Zhanyue, (2023)
- More ...