Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

This article presents a systematic literature review (SLR) of empirical studies concerning
Artificial Intelligence (AI) in the field of Supply Chain Management (SCM). Over the past …

Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …

Abstract Knowledge graphs (KG) demonstrate superiority in storing and exploiting massive
data and lesson-learned knowledge collected from equipment operation and maintenance …

Smart manufacturing (SM) confronts several challenges inherently suited to knowledge
graphs (KGs) capabilities. The first key challenge lies in the synthesis of complex and varied …

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 …

This editorial introduces the special issue “The Interplay Between Artificial Intelligence,
Production Systems, and Operations Management Resilience.'We selected twelve papers …

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

Research and development (R&D) cooperation innovation in the supply chain is
increasingly crucial. Existing studies on R&D cooperation mostly emphasize partner …

As an emerging technology, the knowledge graph (KG) has been successfully applied in
various industries. Though some potential benefits of the KG have been identified, there is …