Analysis for Steady Schedule Convergence Against Random Time Disruptions in a Dual-armed Cluster Tool

Cluster tools are single-wafer processing systems widely used in semiconductor manufacturing. These tools typically operate under a steady regime, where the 1-cyclic schedule is the most desirable for maintaining stable and efficient production, as it ensures uniform quality and higher yield. However, time disruptions, such as process time delay, can destabilize the system, potentially leading to deviations from the 1-cyclic schedule. This study identifies the threshold of time disturbances that allow natural recovery to a 1-cyclic schedule without increasing cycle time. Furthermore, we show that dynamically adjusting start time of robot tasks contributes to system stability, ensuring consistent productivity despite disturbances. Our work lays the theoretical groundwork for a dynamic wafer loading control method that adapts to varying disturbance levels, ensuring stable and efficient tool operation.

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Published
2025-08-17
DOI
https://doi.org/10.1109/case58245.2025.11163781
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Analysis for Steady Schedule Convergence Against Random Time Disruptions in a Dual-armed Cluster Tool

Min‐Chan Kim, Hyun-Jung Kim
Cloud Computing and Resource Management
article

Analysis for Steady Schedule Convergence Against Random Time Disruptions in a Dual-armed Cluster Tool

Min‐Chan Kim, Hyun-Jung Kim
article en

Abstract

Cluster tools are single-wafer processing systems widely used in semiconductor manufacturing. These tools typically operate under a steady regime, where the 1-cyclic schedule is the most desirable for maintaining stable and efficient production, as it ensures uniform quality and higher yield. However, time disruptions, such as process time delay, can destabilize the system, potentially leading to deviations from the 1-cyclic schedule. This study identifies the threshold of time disturbances that allow natural recovery to a 1-cyclic schedule without increasing cycle time. Furthermore, we show that dynamically adjusting start time of robot tasks contributes to system stability, ensuring consistent productivity despite disturbances. Our work lays the theoretical groundwork for a dynamic wafer loading control method that adapts to varying disturbance levels, ensuring stable and efficient tool operation.

Korea Advanced Institute of Science and Technology (KR)
Openalex Percentile: Top 62%
Cloud Computing and Resource Management
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