Graph Neural Networks and Deep Reinforcement Learning in Warehouse Order Picking and Batching - Literature Review
Year: 2025
Type: conference-paper
Study design: Systematic Review
Abstract: This paper is a systematic literature review on use of the Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) in warehouse. We first explore the use of DRL and GNN for optimization of order picking and batching in warehouse. Because of very little results on use of GNNs in optimization of order picking and batching we extended our search to general use of GNNs in warehouse environment. We identified different topics of research using Latent Dirichlet Allocation (LDA) and identified main problems in use of DRL and GNNs in warehouse environment.
Authors: Nejc Čelik, Andrej Škraba
Institution: University of Maribor
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4408618442