Scheduling Cluster Tools in Semiconductor Manufacturing: Recent Advances and Challenges
Document Type
Article
Publication Date
4-1-2018
Abstract
Cluster tools are automated robotic manufacturing systems containing multiple computer-controlled process modules. They have been increasingly used for wafer fabrication. This paper reviews the modeling and scheduling methods for cluster tools with both nonrevisiting and revisiting processes. For nonrevisiting processes, we focus on the modeling and scheduling problems of cluster tools with different constraints. Then, their solution methods are reviewed and compared. For revisiting processes, this paper first discusses the scheduling problem of some general manufacturing systems with revisiting. Then, the modeling and scheduling methodologies used to solve the scheduling problems of cluster tools with revisiting processes are reviewed. Future research directions and conclusions are finally discussed.Note to Practitioners-Semiconductor manufacturing systems are among the most advanced and complicated manufacturing systems. Their key equipment is highly automated robot-based cluster tools. With wafer residency time constraints, wafer revisiting, activity time variation, chamber cleaning requirements, and failure-prone process modules (PMs), it is very challenging to schedule and control them. This paper surveys their modeling and scheduling methods. Scheduling them requires one to schedule their robot tasks and processing activities simultaneously. Owing to wafer residency time constraints and the lack of buffers among PMs, it is difficult to conduct their optimal scheduling. This paper presents a thorough review of the state-of-the-art research results about modeling and optimal scheduling of clusters tools and indicates the future research directions.
Identifier
85015628981 (Scopus)
Publication Title
IEEE Transactions on Automation Science and Engineering
External Full Text Location
https://doi.org/10.1109/TASE.2016.2642997
ISSN
15455955
First Page
586
Last Page
601
Issue
2
Volume
15
Recommended Citation
Pan, Chun Rong; Zhou, Meng Chu; Qiao, Yan; and Wu, Nai Qi, "Scheduling Cluster Tools in Semiconductor Manufacturing: Recent Advances and Challenges" (2018). Faculty Publications. 8750.
https://digitalcommons.njit.edu/fac_pubs/8750
