Anastasia Garbi

Papers

Total Citations

H-Index

About

Anastasia Garbi is a researcher focused on the intersection of process management and high-tech manufacturing, with a particular emphasis on process execution support systems. Her most-cited work, "Developing Process Execution Support for High-Tech Manufacturing Processes" (2019), has garnered 10 citations, establishing a foundation for her contributions to the field. Garbi's research addresses the critical challenge of managing complex, dynamic manufacturing workflows, proposing frameworks that enhance operational efficiency and adaptability in high-tech environments. Her work is notable for bridging theoretical process modeling with practical execution, offering solutions that reduce downtime and improve precision in industries such as semiconductor fabrication and advanced electronics. While her citation count reflects an emerging impact, Garbi's contributions are recognized for their potential to transform how manufacturing processes are designed and monitored. She continues to explore automation and real-time decision support, positioning her as a promising voice in the evolution of smart manufacturing and Industry 4.0.