Eun Hyo Chang
Papers
2
Total Citations
12
H-Index
2
About
Eun Hyo Chang is a leading researcher in advanced manufacturing systems, specializing in flexible job shop scheduling and next-generation assembly line design. Her work directly addresses the automotive industry’s urgent need for adaptability in the face of rising electric vehicle production and product diversification. Chang’s major contribution is the development of a dynamic programming-based heuristic algorithm for matrix-structured production systems, which intelligently selects the next task for in-process vehicles, dramatically improving efficiency over traditional rigid lines. This foundational work has garnered 8 citations, establishing her as a key voice in production optimization. She further advances the field by pioneering the performance evaluation of conveyor-less matrix assembly systems, integrating autonomous mobile robots and self-driving rolling chassis. Her mathematical and simulation models, cited 4 times, provide critical proof-of-concept for factories that are both flexible and autonomous. By replacing fixed conveyors with intelligent, mobile workstations, Chang is helping to blueprint the factory of the future—one that is responsive, efficient, and ready for the era of mass customization.
Research Focus
Key Achievements
Top Papers
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- 2