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
Link To Document :
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