Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/145527
Title: | Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints | Authors: | Wang, Jipeng Hu, Hesuan Pan, Chunrong Zhou, Yuan Li, Liang |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2020 | Source: | Wang, J., Hu, H., Pan, C., Zhou, Y., & Li, L. (2020). Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints. IEEE/CAA Journal of Automatica Sinica, 7(3), 776-789. doi:10.1109/JAS.2020.1003150 | Journal: | IEEE/CAA Journal of Automatica Sinica | Abstract: | Accompanying the unceasing progress of integrated circuit manufacturing technology, the mainstream production mode of current semiconductor wafer fabrication is featured with multi-variety, small batch, and individual customization, which poses a huge challenge to the scheduling of cluster tools with single-wafer-type fabrication. Concurrent processing multiple wafer types in cluster tools, as a novel production pattern, has drawn increasing attention from industry to academia, whereas the corresponding research remains insufficient. This paper investigates the scheduling problems of dual-arm cluster tools with multiple wafer types and residency time constraints. To pursue an easy-to-implement cyclic operation under diverse flow patterns, we develop a novel robot activity strategy called multiplex swap sequence. In the light of the virtual module technology, the workloads that stem from bottleneck process steps and asymmetrical process configuration are balanced satisfactorily. Moreover, several sufficient and necessary conditions with closed-form expressions are obtained for checking the system's schedulability. Finally, efficient algorithms with polynomial complexity are developed to find the periodic scheduling, and its practicability and availability are demonstrated by the offered illustrative examples. | URI: | https://hdl.handle.net/10356/145527 | ISSN: | 2329-9266 | DOI: | 10.1109/JAS.2020.1003150 | Schools: | School of Computer Science and Engineering | Rights: | © 2020 the Chinese Association of Automation. All rights reserved. This paper was published in IEEE/CAA Journal of Automatica Sinica and is made available with permission of the Chinese Association of Automation. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
09080619.pdf | 2.2 MB | Adobe PDF | ![]() View/Open |
SCOPUSTM
Citations
10
41
Updated on Mar 15, 2025
Web of ScienceTM
Citations
10
23
Updated on Oct 25, 2023
Page view(s)
240
Updated on Mar 26, 2025
Download(s) 20
289
Updated on Mar 26, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.