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A fuzzy-neural approach for optimizing the performance of job dispatching in a wafer fabrication factory.
- Source :
-
International Journal of Advanced Manufacturing Technology . Jul2013, Vol. 67 Issue 1-4, p189-202. 14p. 2 Diagrams, 16 Charts, 4 Graphs. - Publication Year :
- 2013
-
Abstract
- A fuzzy-neural approach is presented in this study to optimize the performance of job dispatching in a wafer fabrication factory. The traditional optimization methods in this field have a few problems. To tackle these problems, we performed several treatments. First, we applied a more effective fuzzy-neural approach to estimate the remaining cycle time of a job. Then we established a systematic procedure to determine the optimal values of the parameters in the two-factor tailored nonlinear fluctuation smoothing rule for the mean cycle time, in order to optimize the scheduling performance. To assess the effectiveness of the proposed methodology, we conducted a production simulation. According to the experimental results, the proposed methodology is better than the existing approaches in optimizing the average cycle time. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02683768
- Volume :
- 67
- Issue :
- 1-4
- Database :
- Academic Search Index
- Journal :
- International Journal of Advanced Manufacturing Technology
- Publication Type :
- Academic Journal
- Accession number :
- 88428331
- Full Text :
- https://doi.org/10.1007/s00170-013-4764-9