The COVID-19 pandemic is one of the most severe supply chain disruptions in history and
has challenged practitioners and scholars to improve the resilience of supply chains. Recent …

Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Scholars and practitioners have considered Industry 4.0 a comprehensive set of emerging
technologies that establish a new industrial perspective based on the “Internet of Things”. As …

Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

Abstract Coronavirus disease 2019 (COVID-19) has placed tremendous pressure on supply
chain risk management (SCRM) worldwide. Recent technological advances, especially …

Sustainability issues have driven many industries to close the loop in their supply chains
(SCs), evolving into a more complex process, with many risks due to the circular or multi …

The main objective of the paper is to analyze and synthesize existing scientific literature
related to supply chain areas where machine learning (ML) has already been implemented …

A semiconductor distributor that plays a third-party role in the supply chain will buy diverse
components from different suppliers, warehouse and resell them to a number of electronics …

Decision support tools, within the Industry 4.0 perspective, have increasingly impacted
different operations and supply chain management (OSCM) areas, such as inventory …

In recent years, the semiconductor supply chain has experienced dramatic changes, due to
geopolitical tensions and public health events, which have provided insights into supply …