Ching‐Kang Ing

Papers

Total Citations

H-Index

About

Ching-Kang Ing is a researcher whose work sits at the intersection of manufacturing optimization and algorithmic efficiency. His key research areas include Industry 4.0 applications, zero-defect manufacturing, and search algorithm design. Ing’s most notable contribution is the development of the "Golden Path Search Algorithm for the KSA Scheme," published in 2021, which has garnered 4 citations. This work builds upon foundational concepts of Industry 4.0 disclosed in *IEEE Robotics and Automation Letters* in 2016, specifically targeting the ambitious goal of achieving Zero-Defect (ZD) manufacturing. Ing’s research proposes that ZD of all deliverables can be realized by systematically discarding defective pathways, a principle that has implications for automated quality control and production efficiency. While his citation count is modest, his work represents a focused effort to bridge theoretical Industry 4.0 frameworks with practical, implementable algorithms. For students and researchers exploring the frontiers of smart manufacturing, Ing’s contributions offer a concrete example of how algorithmic innovation can drive the precision and reliability demanded by next-generation industrial systems.