Digital Supply Chain Surveillance (DSCS) is the proactive monitoring and analysis of digital
data that allows firms to extract information related to a supply network, without the explicit …

This research aims to explore the potential of various artificial intelligence technologies in
enhancing risk management within Volvo AB's supply chain management. Application areas …

Driven by economic globalisation, various industries have developed a trend towards high
specialisation and vertical division of labor, resulting in vast and intricate supply chain …

Modern supply chains are complex and interlinked, resulting in increased network risk
exposure for companies. Digital Supply Chain Surveillance (DSCS) has emerged as a …

On 19 September 2022, the first workshop on AI for Manufacturing (AI4M Workshop) took
place at ECML-PKDD, the European Conference on Machine Learning and Principles and …

The study of machine learning-based logical query-answering enables reasoning with large-
scale and incomplete knowledge graphs. This paper further advances this line of research …

Industry 5.0 emphasises human-centric intelligent manufacturing, posing challenges in
integrating human expertise with advanced machine capabilities. To address these …

With global supply chains experiencing significant disruptions, there is increasing emphasis
on enhancing manufacturing resilience by mitigating supply chain-propagated impacts on …

Link prediction (LP), inferring the connectivity between nodes, is a significant research area
in graph data, where a link represents essential information on relationships between …

Time Series Supplier Allocation (TSSA) poses a complex NP-hard challenge, aimed at
refining future order dispatching strategies to satisfy order demands with maximum supply …