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Multiobjective Scheduling of Dual-Blade Robotic Cells in Wafer Fabrication.

Authors :
Zhu, QingHua
Zhou, MengChu
Qiao, Yan
Wu, NaiQi
Hou, Yan
Source :
IEEE Transactions on Systems, Man & Cybernetics. Systems; Dec2020, Vol. 50 Issue 12, p5015-5023, 9p
Publication Year :
2020

Abstract

As a kind of robotic cells, cluster tools are widely used for semiconductor wafer fabrication processes since they provide a reconfigurable and efficient environment. With recent advances in new semiconductor materials, the circuit line width has continuously being shrunk down, which brings new challenges for manufacturers. They require that a wafer should be moved away from a processing chamber as soon as possible after its processing is finished. To ensure high-quality integrated circuits in a wafer, its post-processing residency time must be minimized. It is also highly desirable to maximize the throughput of robotic cluster tools. This article aims at scheduling such tools with multiple objectives subject to wafer residency time constraints. To do so, new algorithms are proposed to calculate robot waiting time delicately upon the analysis of particular events of robot waiting for dual-blade robotic tools and optimally schedule such tools. The numerical results of industrial examples show that the proposed algorithms can provide an effective method to find schedules for dual-blade cluster tools such that multiple objectives are optimized. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21682216
Volume :
50
Issue :
12
Database :
Complementary Index
Journal :
IEEE Transactions on Systems, Man & Cybernetics. Systems
Publication Type :
Academic Journal
Accession number :
147133617
Full Text :
https://doi.org/10.1109/TSMC.2019.2944866