Bayesian inventory control : accelerated demand learning via exploration boosts
Year of publication: |
2023
|
---|---|
Authors: | Chuang, Ya-Tang ; Kim, Michael Jong |
Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 71.2023, 5, p. 1515-1529
|
Subject: | Bayesian dynamic programming | Bayesian learning | exploration versus exploitation trade-off | inventory management | Bayes-Statistik | Bayesian inference | Theorie | Theory | Lernprozess | Learning process | Lagermanagement | Warehouse management | Dynamische Optimierung | Dynamic programming | Lagerhaltungsmodell | Inventory model | Lernen | Learning | Lernende Organisation | Learning organization | Markov-Kette | Markov chain | Bestandsmanagement | Inventory management |
-
Dynamic pricing and inventory management with demand learning : a Bayesian approach
Liu, Jue, (2020)
-
Chehrazi, Naveed, (2025)
-
Managing nonperishable inventories with learning about demand arrival rate through stockout times
Bensoussan, Alain, (2015)
- More ...
-
Variance regularization in sequential Bayesian optimization
Kim, Michael Jong, (2020)
-
Optimal Bayesian fault prediction scheme for a patially observable system subject to random failure
Kim, Michael Jong, (2011)
-
A maintenance model with minimal and general repair
Kim, Michael Jong, (2010)
- More ...