A Novel Fuzzy-Neural Slack-Diversifying Rule Based on Soft Computing Applications for Job Dispatching in a Wafer Fabrication Factory
Joint Authors
Romanowski, Richard
Toly Chen, Tin-Chih
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-20
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This study proposes a slack-diversifying fuzzy-neural rule to improve job dispatching in a wafer fabrication factory.
Several soft computing techniques, including fuzzy classification and artificial neural network prediction, have been applied in the proposed methodology.
A highly effective fuzzy-neural approach is applied to estimate the remaining cycle time of a job.
This research presents empirical evidence of the relationship between the estimation accuracy and the scheduling performance.
Because dynamic maximization of the standard deviation of schedule slack has been shown to improve performance, this work applies such maximization to a slack-diversifying fuzzy-neural rule derived from a two-factor tailored nonlinear fluctuation smoothing rule for mean cycle time (2f-TNFSMCT).
The effectiveness of the proposed rule was checked with a simulated case, which provided evidence of the rule’s effectiveness.
The findings in this research point to several directions that can be exploited in the future.
American Psychological Association (APA)
Toly Chen, Tin-Chih& Romanowski, Richard. 2013. A Novel Fuzzy-Neural Slack-Diversifying Rule Based on Soft Computing Applications for Job Dispatching in a Wafer Fabrication Factory. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1032515
Modern Language Association (MLA)
Toly Chen, Tin-Chih& Romanowski, Richard. A Novel Fuzzy-Neural Slack-Diversifying Rule Based on Soft Computing Applications for Job Dispatching in a Wafer Fabrication Factory. Mathematical Problems in Engineering No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-1032515
American Medical Association (AMA)
Toly Chen, Tin-Chih& Romanowski, Richard. A Novel Fuzzy-Neural Slack-Diversifying Rule Based on Soft Computing Applications for Job Dispatching in a Wafer Fabrication Factory. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1032515
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032515