:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Hang, Tang, Huijie, Leng, Ningai, Yu, Zhoufan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.03673
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Study on Supply Chain Finance Decision-Making Model and Enterprise Economic Performance Prediction Based on Deep Reinforcement Learning
by: Zhang, Shiman, et al.
Published: (2025)

LLMs for Supply Chain Management
by: Wang, Haojie, et al.
Published: (2025)

What if? Causal Machine Learning in Supply Chain Risk Management
by: Wyrembek, Mateusz, et al.
Published: (2024)

Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain
by: Zhang, Zizhou, et al.
Published: (2025)

Machine Learning Models Have a Supply Chain Problem
by: Meiklejohn, Sarah, et al.
Published: (2025)

Forecasting Supply Chain Disruptions with Foresight Learning
by: Turtel, Benjamin, et al.
Published: (2026)

Generative Probabilistic Planning for Optimizing Supply Chain Networks
by: Ahn, Hyung-il, et al.
Published: (2024)

GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks
by: Ahn, Hyung-il, et al.
Published: (2024)

Stochastic Optimization of Inventory at Large-scale Supply Chains
by: Jin, Zhaoyang Larry, et al.
Published: (2025)

A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization
by: Wasi, Azmine Toushik, et al.
Published: (2025)

Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
by: Wasi, Azmine Toushik, et al.
Published: (2024)

Big Data$\unicode{x2013}$Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
by: Jahin, Md Abrar, et al.
Published: (2023)

Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization
by: Nadia, Nusrat Yasmin, et al.
Published: (2026)

Optimizing Supply Chain Networks with the Power of Graph Neural Networks
by: Chen, Chi-Sheng, et al.
Published: (2025)

Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management
by: Long, Carol Xuan, et al.
Published: (2026)

Resilience Inference for Supply Chains with Hypergraph Neural Network
by: Shen, Zetian, et al.
Published: (2025)

RAG for Effective Supply Chain Security Questionnaire Automation
by: Reza, Zaynab Batool, et al.
Published: (2024)

Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning
by: Liu, Shijie, et al.
Published: (2025)

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
by: Zhang, Qingkai, et al.
Published: (2025)

Bridging Theory and Practice: A Stochastic Learning-Optimization Model for Resilient Automotive Supply Chains
by: Shahnawaz, Muhammad, et al.
Published: (2025)

Credit Risk Identification in Supply Chains Using Generative Adversarial Networks
by: Zhang, Zizhou, et al.
Published: (2025)

PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning
by: Akhlaghi, Vahid Eghbal, et al.
Published: (2025)

Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series
by: Do, Bach Viet, et al.
Published: (2024)

An Empirical Analysis of Machine Learning Model and Dataset Documentation, Supply Chain, and Licensing Challenges on Hugging Face
by: Stalnaker, Trevor, et al.
Published: (2025)

AttnBoost: Retail Supply Chain Sales Insights via Gradient Boosting Perspective
by: Liu, Yadi, et al.
Published: (2025)

Trans-XFed: An Explainable Federated Learning for Supply Chain Credit Assessment
by: Shi, Jie, et al.
Published: (2025)

Structural Consequences of Policy-Based Interventions on the Global Supply Chain Network
by: Karbevska, Lea, et al.
Published: (2026)

Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach
by: Abdullah, Abdullah, et al.
Published: (2024)

OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
by: Ao, Ruicheng, et al.
Published: (2026)

Speeding up Policy Simulation in Supply Chain RL
by: Farias, Vivek, et al.
Published: (2024)

Designing and Deploying AI Models for Sustainable Logistics Optimization: A Case Study on Eco-Efficient Supply Chains in the USA
by: Shawon, Reza E Rabbi, et al.
Published: (2025)

Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insights
by: Wang, Yuan, et al.
Published: (2024)

Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems
by: Dastagir, Muhammad Bilal Akram, et al.
Published: (2026)

Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering
by: Moradi, Fatemeh, et al.
Published: (2025)

AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services
by: Hopkins, Aspen, et al.
Published: (2025)

Bridging Deep Learning and Integer Linear Programming: A Predictive-to-Prescriptive Framework for Supply Chain Analytics
by: Nghiep, Khai Banh, et al.
Published: (2026)

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks
by: Zhang, Zhizhen, et al.
Published: (2026)

Stock Price Responses to Firm-Level News in Supply Chain Networks
by: Inoue, Hiroyasu, et al.
Published: (2024)

Artificial Intelligence in Financial Risk Management and Supply Chain Optimization
by: Hema Madhavi Kommula
Published: (2026)

Towards Predicting Multi-Vulnerability Attack Chains in Software Supply Chains from Software Bill of Materials Graphs
by: Baird, Laura, et al.
Published: (2026)