Optimizing Supply Chain Resilience Using Advanced Analytics and Computational Intelligence Techniques

Optimizing Supply Chain Resilience Using Advanced Analytics and Computational Intelligence Techniques

This paper presents a novel resilient supply chain management (SCM) structure leveraging advanced artificial intelligence (AI) techniques, specifically Long Short-Term Memory (LSTM) networks and Particle Swarm Optimization (PSO). The primary objective is to enhance supply chain efficiency and robust...

Full description

Saved in:
Bibliographic Details
Main Authors: Jie Xu, Lixing Bo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Supply chain management (SCM)
long short-term memory (LSTM)
particle swarm optimization (PSO)
demand forecasting
resource allocation
Online Access:https://ieeexplore.ieee.org/document/10817559/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10817559/

Similar Items