Chung‐Piaw Teo
Papers
2
Total Citations
104
H-Index
2
About
Chung-Piaw Teo is a leading scholar in operations research and supply chain management, renowned for his pioneering work at the intersection of optimization, predictive analytics, and human-robot coordination. His research primarily focuses on designing intelligent systems for logistics, warehousing, and service operations, with a strong emphasis on data-driven decision-making. Teo's major contributions include developing novel scheduling algorithms for mobile-rack warehouses, where robots and human pickers collaborate to fulfill orders efficiently—a critical innovation for modern e-commerce and agile supply chains. His work on limousine service capacity planning, which integrates predictive analytics with optimization, has also advanced service management in the hospitality industry. With over 98 citations for his influential paper on robot scheduling alone, Teo's research has had a profound impact on both academia and industry, shaping the design of automated warehouses and service systems. His achievements include collaborations with leading companies and institutions, and his work continues to inspire students and researchers in operations research, industrial engineering, and logistics.
Research Focus
Key Achievements
Top Papers
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