Optimal Scheduling of Complex Multi-Cluster Tools Based on Timed Resource-Oriented Petri Nets
Document Type
Article
Publication Date
1-1-2016
Abstract
Complex multi-cluster tools have been extensively used in semiconductor manufacturing. It is crucial to increase their productivity by their effective operation. With structural complexity, multiple robots, and the interaction among individual tools, it is very challenging to schedule a tree-like multi-cluster tool. This paper investigates the scheduling problem of such a tool whose bottleneck individual tool is process-bound. The system is modeled by well-known discrete-event models, i.e., resource-oriented Petri nets. Based on the models, for the first time, this work develops necessary and sufficient conditions under which a one-unit (wafer) periodic schedule exists and shows that an optimal one-unit periodic schedule can always be found. Algorithms with polynomial complexity are presented to find the optimal cycle time and the one-unit periodic schedule. Industrial examples are used to illustrate the proposed method, and they show that a significant reduction in cycle time can be obtained in comparison with the existing method.
Identifier
84979818933 (Scopus)
Publication Title
IEEE Access
External Full Text Location
https://doi.org/10.1109/ACCESS.2016.2549546
e-ISSN
21693536
First Page
2096
Last Page
2109
Volume
4
Grant
U1401240
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Zhu, Qinghua; Wu, Naiqi; Qiao, Yan; and Zhou, Mengchu, "Optimal Scheduling of Complex Multi-Cluster Tools Based on Timed Resource-Oriented Petri Nets" (2016). Faculty Publications. 10915.
https://digitalcommons.njit.edu/fac_pubs/10915
