DocumentCode
176960
Title
Cyclic scheduling of cluster tools with equipment front-end module and multifunctional load locks
Author
Wang Hao ; Wang Huan-gang ; Xu Wen-li
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
4448
Lastpage
4453
Abstract
This paper proposes a cyclic scheduling method for cluster tools in semiconductor manufacturing with equipment front-end module and multifunctional load locks. In this special configured cluster tools, the equipment front-end module consists of an aligner, a signal-arm robot, and two load locks integrated with coolers. Hence, the two load locks both have multifunction of filling, pumping, and cooling wafers. The multifunctional load locks may become scheduling bottleneck for a certain specified recipe. To solve this problem, the Petri net models of the above configured cluster tool is developed first. Then, based on the Petri net models and state equations, a mixed integer programming model is presented, which can efficiently determine the optimal scheduling sequence in steady state. Through experiments, the effectiveness of the cyclic scheduling method proposed in this paper is verified.
Keywords
Petri nets; cluster tools; integer programming; manipulators; process control; production control; scheduling; semiconductor device manufacture; semiconductor technology; Petri net models; aligner; cluster tool cyclic scheduling method; coolers; equipment front-end module; mixed integer programming model; multifunctional load locks; optimal scheduling sequence; semiconductor manufacturing; signal-arm robot; state equations; wafer cooling; wafer filling; wafer pumping; Job shop scheduling; Load modeling; Mathematical model; Optimal scheduling; Petri nets; Robots; Semiconductor device modeling; Cluster Tools; Cyclic Scheduling; Mixed Integer Programming; Petri Net;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852964
Filename
6852964
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