Ming-Cheng Ko
Papers
1
Total Citations
3
H-Index
1
About
Ming-Cheng Ko is a researcher whose work sits at the intersection of industrial automation, logistics optimization, and intelligent manufacturing systems. Ko's most notable contribution focuses on the development of algorithmic solutions and automated material handling systems designed specifically for the complex challenge of stacking three-dimensional irregular stone pieces — a problem that demands both computational ingenuity and practical engineering insight. This 2011 work addresses a genuinely difficult real-world manufacturing challenge: how to efficiently and safely arrange irregularly shaped materials in ways that boost productivity, reduce operational costs, and minimize the risk of workplace injury. By tackling the diversity of product shapes that give rise to varied stacking configurations, Ko's research bridges the gap between abstract algorithmic design and hands-on industrial application. While the work has accumulated 3 citations, it represents a specialized contribution to a niche but meaningful domain within manufacturing engineering and operations research. Ko's research reflects a commitment to solving tangible production-floor problems through systematic, automated approaches — making it particularly relevant for students and practitioners interested in smart manufacturing, warehouse automation, and the application of computational methods to physical logistics challenges.
Research Focus
Key Achievements
Top Papers
- 1