Kate Smith‐Miles
Papers
7
Total Citations
187
H-Index
7
About
Kate Smith-Miles is a leading figure in the optimization of automated manufacturing and robotic systems, with a particular focus on scheduling, stochastic modeling, and deadlock resolution. Her work bridges the gap between theoretical optimization and practical industrial applications, addressing critical challenges in robotic cells, including automated storage and retrieval systems (AS/RS) and rework cells. Her most cited paper (55 citations) introduces a cross-entropy method for optimizing robotic AS/RS, enhancing both retrieval sequencing and pallet building. She has made foundational contributions to the scheduling of two-machine robotic cells, developing frameworks for stochastic optimization with controllable inspection times (46 citations) and exploring in-process, post-process, and in-line inspection scenarios. Notably, her research on deadlock avoidance and recovery in robotic cells (13 citations) addresses a long-ignored problem in scheduling literature, proposing both preventive and reactive strategies. Her work on multifunction robot (MFR) cells (26 citations) has advanced the understanding of feasibility and optimality conditions under pickup restrictions. With a cumulative impact of nearly 200 citations across her top papers, Smith-Miles has significantly influenced the design of efficient, deadlock-free robotic manufacturing systems, making her a key contributor to the field of industrial automation and operations research.
Research Focus
Key Achievements
Top Papers
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