Chiara Mansanta
Papers
1
Total Citations
6
H-Index
1
About
Chiara Mansanta is a researcher whose work lies at the intersection of cyber-physical systems (CPSs), distributed control, and manufacturing optimization. Her most cited paper, "Performance Improvement in CPSs over Self-similar System Structures" (2018, 6 citations), introduces a novel methodology for enhancing the efficiency of distributed CPSs that model complex production processes. By incorporating self-similar structures into holonic systems—a concept inspired by biological and organizational hierarchies—Mansanta offers a scalable and resilient framework for managing dynamic manufacturing environments. This approach not only addresses performance bottlenecks but also provides a theoretical foundation for adaptive, decentralized control in Industry 4.0 contexts. While her citation count reflects an emerging career, the originality of her work signals a promising trajectory in the field of intelligent manufacturing and system design. Her contributions are particularly relevant for researchers exploring bio-inspired architectures and self-organization in industrial automation, positioning her as a thoughtful innovator in the ongoing evolution of smart production systems.
Research Focus
Key Achievements
Top Papers
- 1Performance Improvement in CPSs over Self-similar System Structures6 citations · 2018