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 …

This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …

Abstract Supply Chain Risk Management (SCRM) is a rapidly growing field of research
encompassing identification, assessment, mitigation, and monitoring of the risks or …

Supply chain resilience (SCRes) and performance have become increasingly important in
the wake of the recent supply chain disruptions caused by subsequent pandemics and …

Simulation is a key technology for developing planning and exploratory models to optimize
decision making as well as the design and operations of complex and smart production …

Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
supply chains. However, the literature is highly dispersed regarding the application of AI in …

The importance of big data analytics, artificial intelligence, and machine learning has been
at the forefront of research for operations and supply chain management. Literature has …

The importance of big data analytics–enabled dynamic capability has been at the forefront of
research for information systems management, operations management, and strategic …

Abstract The use of Industry 4.0 (I4. 0) Information and Digital Technologies (IDT) has given
rise to new opportunities and challenges for designing and managing agile supply chains …

Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to
identify, assess, mitigate and monitor unexpected events or conditions which might have an …