There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …

A large variety of models have been developed in the last two decades aiming at supply
chain (SC) stress-testing and resilience. New digital and artificial intelligence (AI) …

The quality of model-based decision-making support strongly depends on the data, its
completeness, fullness, validity, consistency, and timely availability. These requirements on …

We theorize a notion of a digital supply chain (SC) twin–a computerized model that
represents network states for any given moment in real time. We explore the conditions …

Black swan events such as the coronavirus (COVID-19) outbreak cause substantial supply
chain disruption risks to modern companies. In today's turbulent and complex business …

Suppliers play a crucial role in achieving the supply chain goals. In the context of risk
management, suppliers are the most common source of external risks in modern supply …

Purpose This study aims to investigate the impact of digital transformation on supply chain
resilience. Additionally, the paper examines the mediating effect of supply chain process …

Supply chain disruption refers to a breakdown, often caused by an unforeseen incident or
risk, in a supply chain's production or distribution process. Contemporary supply chains are …

Resilient supplier selection is a key strategic decision in the context of the supply chain (SC)
disruption management. We offer an efficient solution to the resilient supplier selection and …

The coronavirus disease 2019 (COVID-19) has put enormous pressure on the global supply
chain. This work aims to solve supply chain interruption caused by public health …