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Chip Attach Scheduling in Semiconductor Assembly
Joint Authors
Zhang, Zhicong
Zhao, Shaoyong
Hu, Kaishun
Huang, Huiyu
Li, Shuai
Source
Journal of Industrial Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Science
Abstract EN
Chip attach is the bottleneck operation in semiconductor assembly.
Chip attach scheduling is in nature unrelated parallel machine scheduling considering practical issues, for example, machine-job qualification, sequence-dependant setup times, initial machine status, and engineering time.
The major scheduling objective is to minimize the total weighted unsatisfied Target Production Volume in the schedule horizon.
To apply Q-learning algorithm, the scheduling problem is converted into reinforcement learning problem by constructing elaborate system state representation, actions, and reward function.
We select five heuristics as actions and prove the equivalence of reward function and the scheduling objective function.
We also conduct experiments with industrial datasets to compare the Q-learning algorithm, five action heuristics, and Largest Weight First (LWF) heuristics used in industry.
Experiment results show that Q-learning is remarkably superior to the six heuristics.
Compared with LWF, Q-learning reduces three performance measures, objective function value, unsatisfied Target Production Volume index, and unsatisfied job type index, by considerable amounts of 80.92%, 52.20%, and 31.81%, respectively.
American Psychological Association (APA)
Zhang, Zhicong& Hu, Kaishun& Li, Shuai& Huang, Huiyu& Zhao, Shaoyong. 2013. Chip Attach Scheduling in Semiconductor Assembly. Journal of Industrial Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-461244
Modern Language Association (MLA)
Zhang, Zhicong…[et al.]. Chip Attach Scheduling in Semiconductor Assembly. Journal of Industrial Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-461244
American Medical Association (AMA)
Zhang, Zhicong& Hu, Kaishun& Li, Shuai& Huang, Huiyu& Zhao, Shaoyong. Chip Attach Scheduling in Semiconductor Assembly. Journal of Industrial Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-461244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461244