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Enhancing Scheduling Performance for a Wafer Fabrication Factory : The Biobjective Slack-Diversifying Nonlinear Fluctuation-Smoothing Rule
Joint Authors
Toly Chen, Tin-Chih
Wang, Yu-Cheng
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A biobjective slack-diversifying nonlinear fluctuation-smoothing rule (biSDNFS) is proposed in the present work to improve the scheduling performance of a wafer fabrication factory.
This rule was derived from a one-factor bi-objective nonlinear fluctuation-smoothing rule (1f-biNFS) by dynamically maximizing the standard deviation of the slack, which has been shown to benefit scheduling performance by several previous studies.
The efficacy of the biSDNFS was validated with a simulated case; evidence was found to support its effectiveness.
We also suggested several directions in which it can be exploited in the future.
American Psychological Association (APA)
Toly Chen, Tin-Chih& Wang, Yu-Cheng. 2012. Enhancing Scheduling Performance for a Wafer Fabrication Factory : The Biobjective Slack-Diversifying Nonlinear Fluctuation-Smoothing Rule. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-469410
Modern Language Association (MLA)
Toly Chen, Tin-Chih& Wang, Yu-Cheng. Enhancing Scheduling Performance for a Wafer Fabrication Factory : The Biobjective Slack-Diversifying Nonlinear Fluctuation-Smoothing Rule. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-469410
American Medical Association (AMA)
Toly Chen, Tin-Chih& Wang, Yu-Cheng. Enhancing Scheduling Performance for a Wafer Fabrication Factory : The Biobjective Slack-Diversifying Nonlinear Fluctuation-Smoothing Rule. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-469410
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469410