Supply Chain 4.0: A Machine Learning-Based Bayesian-Optimized LightGBM Model for Predicting Supply Chain Risk
In today's intricate and dynamic world, Supply Chain Management (SCM) is encountering
escalating difficulties in relation to aspects such as disruptions, globalisation and complexity …
escalating difficulties in relation to aspects such as disruptions, globalisation and complexity …
AI and ML Applications in Supply Chain Management Field: A Systematic Literature Review
KM Edhrabooh, AI Al-Alawi - 2024 ASU International …, 2024 - ieeexplore.ieee.org
The purpose of this study is to explore the areas of Supply Chain Management (SCM) in
which Artificial Intelligence (AI) and Machine Learning (ML) are implemented and to identify …
which Artificial Intelligence (AI) and Machine Learning (ML) are implemented and to identify …
[HTML][HTML] Facilitating the Adoption of AI-driven Zero Defect Manufacturing in Production Systems
N Leberruyer - 2024 - diva-portal.org
The increasing focus on sustainability is pushing companies to update their production
systems. These systems need to facilitate the production of products with the latest …
systems. These systems need to facilitate the production of products with the latest …
Towards Low-Cost Digital Twins for Urban Transportation Systems
In this study, we introduce an advanced Digital Twin (DT) framework for trams, transforming
public transport maintenance through intelligent analytics and real-time data monitoring. Our …
public transport maintenance through intelligent analytics and real-time data monitoring. Our …