Yu‐Chi Chung
Papers
1
Total Citations
10
H-Index
1
About
Yu-Chi Chung is a researcher whose work centers on the optimization of manufacturing processes through the strategic application of Lean Manufacturing (LM) principles and simulation tools. His primary contributions lie in demonstrating how integrated LM methodologies—including Value Stream Mapping (VSM), Kanban, and Pareto analysis—can be combined with discrete-event simulation to drive measurable improvements in production efficiency. In his most-cited work, "Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study" (2023), Chung presents a practical framework that uses Arena simulation to validate process enhancements, offering a replicable model for reducing waste and increasing throughput in real-world industrial settings. With over 10 citations to this key paper, his research is gaining traction among practitioners and academics seeking evidence-based approaches to lean transformation. Chung’s work stands out for its hands-on, case-study-driven methodology, bridging the gap between theoretical lean concepts and actionable manufacturing improvements—a valuable resource for students and engineers aiming to implement sustainable process optimization.
Research Focus
Key Achievements
Top Papers
- 1