Risk-and-Resiliency-Intelligent Supply Chain (RRiSC)

Autor: Abdelnabi, Ahmad A., Abdelmagid, Ahmed M., Rabadi, Ghaith, Sousa-Poza, Andres, Pinto, C. Ariel
Rok vydání: 2022
DOI: 10.25776/87sm-cf37
Popis: This work proposes a risk-and-resiliency-intelligent supply chain (RRiSC) tool which is an SC risk management framework that leverages cutting-edge technologies in Artificial Intelligence (AI), Big Data Analytics (BDA), and Digital Twins (DT) to develop specific capabilities for SC risk management. RRiSC is a convergence of mature tools and techniques embedded in three modules: Modeling, Simulation, and Visualization – all together integrate the optimization, simulation, and data analytics to test the performance of the whole supply network under different scenarios through measuring the vital KPIs, identifying the vulnerabilities, and setting proactive plans to diminish risks consequences.
Databáze: OpenAIRE