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About

Andy Ham is a leading researcher in the intersection of production scheduling, robotics, and material handling systems. His work focuses on the simultaneous scheduling of production and material transfer, a critical challenge in modern manufacturing and logistics. Ham’s most influential contributions include developing optimization models for transfer-robot task scheduling in flexible job shops and job shops, with his two 2020 papers garnering 84 and 82 citations, respectively. These studies have been adopted in warehouse operations, where transbots coordinate job pickup and delivery to machines. He has also explored human-robot collaboration, notably in a 2021 study motivated by the Boeing 777 upright build project, which formulated task allocation and scheduling under temporal and spatial constraints (37 citations). Additionally, Ham has investigated drone-based material transfer in robotic mobile fulfillment centers (31 citations) and applied his scheduling frameworks to semiconductor manufacturing. His work is notable for bridging theoretical scheduling problems with real-world industrial applications, particularly in advanced manufacturing and logistics. With over 230 total citations, Ham’s research continues to shape the design of efficient, automated production and material flow systems.