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Post-processing time-aware optimal scheduling of single robotic cluster tools

QingHua Zhu, Yan Qiao, Naiqi Wu, Yan Hou

Year
2020
Citations
26

Abstract

Integrated circuit chips are produced on silicon wafers. Robotic cluster tools are widely used since they provide a reconfigurable and efficient environment for most wafer fabrication processes. Recent advances in new semiconductor materials bring about new functionality for integrated circuits. After a wafer is processed in a processing chamber, the wafer should be removed from there as fast as possible to guarantee its high-quality integrated circuits. Meanwhile, maximization of the throughput of robotic cluster tools is desired. This work aims to perform post-processing time-aware scheduling for such tools subject to wafer residency time constraints. To do so, closed-form expression algorithms are derived to compute robot waiting time accurately upon the analysis of particular events of robot waiting for single-arm cluster tools. Examples are given to show the application and effectiveness of the proposed algorithms.

Keywords

Computer scienceWaferSemiconductor device fabricationScheduling (production processes)Wafer fabricationRobotMaximizationIntegrated circuitEmbedded systemElectronic circuit

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