Nonparametric data-driven learning algorithms for multilocation inventory systems
| Year of publication: |
2024
|
|---|---|
| Authors: | Zhong, Zijun ; He, Zhou |
| Published in: |
Operations research letters : a journal of INFORMS devoted to the rapid publication of concise contributions in operations research. - Amsterdam [u.a.] : Elsevier Science, ISSN 0167-6377, ZDB-ID 1467065-3. - Vol. 57.2024, Art.-No. 107163, p. 1-6
|
| Subject: | Multilocation inventory system | Nonparametric learning | Online convex optimization | Regret | Algorithmus | Algorithm | Nichtparametrisches Verfahren | Nonparametric statistics | Lagermanagement | Warehouse management | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Lagerhaltungsmodell | Inventory model | Lernprozess | Learning process |
-
A nonparametric learning algorithm for a stochastic multi-echelon inventory problem
Yang, Cong, (2024)
-
A Non-Parametric Learning Algorithm for a Stochastic Multi-Echelon Inventory Problem
Yang, Cong, (2023)
-
Nonparametric data-driven algorithms for multiproduct inventory systems with censored demand
Shi, Cong, (2016)
- More ...
-
Competition and evolution in multi-product supply chains : an agent-based retailer model
He, Zhou, (2013)
-
Evolutionary location and pricing strategies for service merchants in competitive O2O markets
He, Zhou, (2016)
-
Dong, Jichang, (2024)
- More ...