Advances in Supply Chain Optimization and Intelligent Business Analysis: A Conceptual Review
TL;DR
This conceptual overview investigates progress in the areas of Supply Chain optimization and Intelligent Business analysis, and aims to bring together the emerging global research stream of the six thematic areas of Artificial Intelligence and machine learning, Big Data analytics, Internet of Things, Predictive and Prescriptive analytics, Digital Twin technologies and Resilience and Disruption intelligence.
Abstract
- Advanced technology has transformed the concept of supply chain management and how companies are able to leverage data to gain insight into their business. The modern supply chain presents a number of new complexities, volatility and competition and needs intelligent systems to analyse, adapt and respond to situations in real-time, while being able to resist disruption. This conceptual overview investigates progress in the areas of Supply Chain optimization and Intelligent Business analysis, and aims to bring together the emerging global research stream of the six thematic areas of Artificial Intelligence and machine learning, Big Data analytics, Internet of Things, Predictive and Prescriptive analytics, Digital Twin technologies and Resilience and Disruption intelligence. The review was carried out by systematically searching the databases like Scopus, Web of Science, Google Scholar and other databases using the