Papers
2
Total Citations
15
H-Index
2
About
Chia-Nan Wang is a leading researcher in lean manufacturing, sustainable production, and smart technology integration. His work focuses on optimizing manufacturing processes through innovative decision-making frameworks and simulation tools. Wang’s most cited paper, “Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study” (2023, 10 citations), demonstrates how combining Lean tools like Kanban, VSM, and Arena simulation can systematically reduce waste and enhance efficiency in real-world production lines. This practical approach has made his research highly valuable for industry practitioners. Another notable contribution, “Smart Technology Prioritization for Sustainable Manufacturing in Emergency Situation by Integrated Spherical Fuzzy Bounded Rationality Decision-Making Approach” (2022, 5 citations), addresses the critical challenge of maintaining manufacturing resilience during disruptions like the COVID-19 pandemic. By developing a novel fuzzy logic-based method to prioritize smart technologies, Wang provides a strategic roadmap for factories to adapt under uncertainty. His work bridges theoretical modeling and applied solutions, earning recognition for advancing both sustainability and operational agility. With a growing citation record, Wang’s research continues to influence how manufacturers navigate complexity and embrace digital transformation.
Research Focus
Key Achievements
Top Papers
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