Confidence intervals for data-driven inventory policies with demand censoring
Year of publication: |
2020
|
---|---|
Authors: | Ban, Gah-Yi |
Published in: |
Operations research. - Catonsville, MD : INFORMS, ISSN 0030-364X, ZDB-ID 123389-0. - Vol. 68.2020, 2, p. 309-326
|
Subject: | inventory/production: uncertainty, stochastic | statistics: nonparametric | dynamic programming: applications | Operations and Supply Chains | inventory management | nonparametric estimation | demand censoring | confidence intervals | Lagerhaltungsmodell | Inventory model | Schätztheorie | Estimation theory | Nichtparametrisches Verfahren | Nonparametric statistics | Lieferkette | Supply chain | Nachfrage | Demand | Lagermanagement | Warehouse management | Bestandsmanagement | Inventory management | Dynamische Optimierung | Dynamic programming | Mathematische Optimierung | Mathematical programming |
-
On implications of demand censoring in the newsvendor problem
Besbes, Omar, (2013)
-
Information-sensitive replenishment when inventory records are inaccurate
Mersereau, Adam J., (2013)
-
Spare parts inventory management with substitution-dependent reliability
Khademi, Amin, (2018)
- More ...
-
Ban, Gah-Yi, (2021)
-
The big data newsvendor : practical insights from machine learning
Ban, Gah-Yi, (2019)
-
Machine learning and portfolio optimization
Ban, Gah-Yi, (2018)
- More ...