Ming-Jong Yao
Papers
1
Total Citations
32
H-Index
1
About
Ming-Jong Yao is a distinguished researcher in industrial engineering and manufacturing systems, with a primary focus on production planning, assembly line optimization, and robotic automation. His most-cited work, "A Line-Balance-Based Capacity Planning Procedure for Series-Type Robotic Assembly Line" (1993, 32 citations), introduces an integrated capacity planning approach that simultaneously determines robot type and workstation allocation to minimize workload variability. This contribution addresses a critical challenge in automated manufacturing: achieving line balance while optimizing resource utilization. Yao’s methodology provides a systematic framework for designing efficient robotic assembly systems, directly impacting industries reliant on series-type production. His research bridges theoretical optimization with practical implementation, offering engineers a data-driven tool to enhance productivity and reduce operational bottlenecks. Beyond this seminal paper, Yao has explored related topics in production scheduling and system design, earning recognition for his applied contributions to manufacturing engineering. His work remains a valuable reference for students and practitioners seeking to understand the intersection of line balancing, capacity planning, and robotics in modern assembly environments.
Research Focus
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Top Papers
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