Yuehwern Yih

Papers

Total Citations

141

H-Index

About

Yuehwern Yih is a leading figure in intelligent manufacturing and logistics systems, with a career spanning over three decades. Her research focuses on the intersection of operations research, artificial intelligence, and robotics, particularly in developing adaptive control and scheduling systems for complex production environments. A major contribution is her pioneering work on hybrid optimization techniques, such as combining semi-Markov decision models with artificial neural networks for real-time robot scheduling in circuit board production lines (41 citations). This approach, which integrates human intelligence with computational methods, laid the groundwork for flexible, dynamic manufacturing cells. Her more recent work addresses modern challenges in material handling, exemplified by her highly cited study on pickup and delivery problems with recharging for autonomous mobile robots (58 citations). This research is critical for the efficient deployment of AMRs in warehouses and factories. With over 40 years of publications, Yih’s work has fundamentally shaped how manufacturing systems adapt to uncertainty, earning her recognition as a pioneer in intelligent control and a key contributor to the evolution of smart factories.