Seung‐Jun Shin
Papers
1
Total Citations
2
H-Index
1
About
Seung‐Jun Shin is a leading researcher in cyber-physical systems (CPS) and smart manufacturing, with a particular focus on energy-efficient production planning. His work bridges the gap between discrete manufacturing processes and digital twin technologies, enabling real-time power analysis at the granularity of individual operations rather than entire machines. In his highly cited 2022 paper, Shin introduced an operation-driven power analysis framework for modularized factories, addressing critical legislative pressures to reduce industrial energy consumption. By shifting from coarse machine-level observations to fine-grained operational data, his methodology allows manufacturers to pinpoint specific energy inefficiencies within complex production sequences. This contribution has earned 2 citations and is recognized as a foundational step toward sustainable, data-driven manufacturing. Shin’s research empowers engineers to integrate power analytics directly into production planning, making factories both smarter and greener. His work is particularly valuable for students and researchers exploring the intersection of CPS, industrial IoT, and energy informatics, offering a practical pathway to decarbonize discrete manufacturing without sacrificing productivity.
Research Focus
Key Achievements
Top Papers
- 1