Chon Huat Goh

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About

Chon Huat Goh is a prominent figure in decision science and engineering, best known for pioneering the application of the Analytic Hierarchy Process (AHP) to complex selection problems. His seminal 1997 paper, "Analytic hierarchy process for robot selection," with 78 citations, introduced a structured, multi-criteria framework that transformed how industries evaluate and choose robotic systems—balancing technical performance, cost, and operational needs. This work remains a cornerstone in manufacturing and automation decision-making. Goh’s broader research spans operations research, supply chain optimization, and intelligent systems, where he has developed innovative models for resource allocation and performance benchmarking. His contributions have influenced both academic theory and practical engineering, earning him recognition as a thought leader in applied decision analysis. With a career dedicated to bridging quantitative methods and real-world challenges, Goh continues to inspire students and researchers to tackle complex trade-offs with rigor and creativity.