Byung-Hyuk Ahn

Papers

Total Citations

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About

Byung-Hyuk Ahn’s research bridges the critical gap between robotic precision and economic decision-making, with a focus on how manufacturing automation can be optimized for profitability. His most cited work, “A decision analysis view of the effect of robot repeatability on profit” (1995, 9 citations), introduces a novel stationary statistical-economic model that evaluates robot precision by treating repeatability as a Rayleigh-distributed variable. This paper challenges traditional von Neumann-Morgenstern utility frameworks, offering engineers and managers a practical tool to quantify how mechanical tolerances directly impact financial outcomes. Ahn’s contributions are especially valuable in industrial robotics, where his model helps firms select automation systems that balance cost, accuracy, and profit margins. While his citation count reflects a specialized niche, his work remains a foundational reference for researchers exploring the intersection of statistical quality control and production economics. By reframing robot repeatability as a profit-influencing parameter rather than a purely technical metric, Ahn has provided a lasting framework for data-driven automation decisions.