Performance of deep reinforcement learning algorithms in two-echelon inventory control systems
F Stranieri, F Stella, C Kouki - International Journal of Production …, 2024 - Taylor & Francis
This study conducts a comprehensive analysis of deep reinforcement learning (DRL)
algorithms applied to supply chain inventory management (SCIM), which consists of a …
algorithms applied to supply chain inventory management (SCIM), which consists of a …
Neuroevolution reinforcement learning for multi-echelon inventory optimization with delivery options and uncertain discount
ZU Rizqi, SY Chou - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The advanced information technology has enabled supply chain to make centralized optimal
decision, allowing to make a global optimal solution. However, dealing with uncertainty is …
decision, allowing to make a global optimal solution. However, dealing with uncertainty is …
Optimization Algorithm of Intelligent Warehouse Management System Based on Reinforcement Learning.
J Zhou - Journal of Electrical Systems, 2024 - search.ebscohost.com
Abstract An Intelligent Warehouse Management System (IWMS) represents a technological
leap forward in the realm of logistics and supply chain management. This sophisticated …
leap forward in the realm of logistics and supply chain management. This sophisticated …
Optimizing Product Replenishment in Omni-Channel Grocery Retail Using Deep Learning
SH Ma - Available at SSRN 4773759 - papers.ssrn.com
The rise of omni-channel grocery retail presents fresh challenges in managing product
replenishment efficiently. This study introduces a novel approach to address the unique …
replenishment efficiently. This study introduces a novel approach to address the unique …
Scalable Deep Reinforcement Learning in the Non-Stationary Capacitated Lot Sizing Problem
Capacitated lot sizing problems in situations with stationary and non-stationary demand
(SCLSP) are very common in practice. Solving problems with a large number of items using …
(SCLSP) are very common in practice. Solving problems with a large number of items using …
Gestione delle scorte di beni deperibili in un sistema multi-echelon= Inventory Management of Perishable Goods in a Multi-Echelon System
L Moro - 2024 - webthesis.biblio.polito.it
Questa tesi studia un problema relativo all'ottimizzazione del processo di gestione degli
stock per un prodotto deperibile in un ambiente multi-echelon con due livelli distinti …
stock per un prodotto deperibile in un ambiente multi-echelon con due livelli distinti …