Industrial digital ecosystems: Predictive models and architecture development issues
Natalia Bakhtadze, Alexander Suleykin
Abstract
The concept of digital ecosystem (DES) is widely used in autonomous manufacturing process control and the development of complex, stable, interactive, self-organizing and reliable management systems for various industries. The paper offers a concept of DES control system architecture based on predictive models. For estimating and predicting the state of resources in production processes, an approach is developed using data mining based model generation. The paper also reviews the current state of research in the field of DES and their applications in supply chain management (SCM).
Topics & Concepts
Model predictive controlField (mathematics)ArchitectureComputer scienceSystems engineeringProcess (computing)State (computer science)Control (management)EngineeringArtificial intelligenceOperating systemPure mathematicsAlgorithmMathematicsVisual artsArtDigital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsScheduling and Optimization Algorithms