Fantahun M. Defersha
Papers
2
Total Citations
82
H-Index
2
About
Dr. Fantahun M. Defersha is a leading researcher in manufacturing systems engineering, with a primary focus on production scheduling, optimization, and digital twin technologies. His most influential work addresses the complex flexible job shop scheduling problem (FJSP), where he developed a novel mathematical model and a simulated annealing algorithm that accounts for setup operator constraints—a critical real-world factor often overlooked in classical scheduling. This paper, with 62 citations, has become a cornerstone for researchers tackling resource-constrained production environments. More recently, Dr. Defersha has advanced the field of smart manufacturing by pioneering a cloud-based digital twin framework for remote monitoring and control of robotic assembly systems, earning 20 citations since 2023. His contributions bridge theoretical optimization with practical Industry 4.0 applications, demonstrating how digital twins can enhance real-time decision-making and operational efficiency. Dr. Defersha’s work is widely cited by scholars in operations research, industrial engineering, and cyber-physical systems, reflecting its dual impact on algorithmic innovation and industrial deployment.
Research Focus
Key Achievements
Top Papers
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