A FUZZY-NEURAL FLUCTUATION SMOOTHING RULE FOR SCHEDULING JOBS WITH VARIOUS PRIORITIES IN A SEMICONDUCTOR MANUFACTURING FACTORY-Reference-Cited by-同舟云学术

A FUZZY-NEURAL FLUCTUATION SMOOTHING RULE FOR SCHEDULING JOBS WITH VARIOUS PRIORITIES IN A SEMICONDUCTOR MANUFACTURING FACTORY

Published:2009-06 Issue:03 Volume:17 Page:397-417
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

CHEN TOLY¹,LIN YU-CHENG²

Affiliation:

1. Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City 407, Taiwan

2. Department of Industrial Engineering and Management, The Overseas Chinese Institute of Technology, Taichung City 407, Taiwan

Abstract

A fuzzy-neural fluctuation smoothing rule is proposed in this study to improve the performance of scheduling jobs with various priorities in a semiconductor manufacturing factory. The fuzzy-neural fluctuation smoothing rule is modified from the well-known fluctuation smoothing rule by improving the accuracy of estimating the remaining cycle time of a job, which is done by applying Chen's fuzzy-neural approach with multiple buckets. To evaluate the effectiveness of the proposed methodology, production simulation is also applied in this study. According to experimental results, incorporating a more accurate remaining cycle time estimation mechanism did improve the scheduling performance especially in reducing the average cycle times. Besides, the fuzzy-neural fluctuation smoothing rule was also shown to be a Pareto optimal solution for scheduling jobs with various priorities in a semiconductor manufacturing factory.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488509005942

Reference20 articles.

1. Job shop scheduling techniques in semiconductor manufacturing

2. Scheduling semiconductor wafer fabrication

3. Efficient scheduling policies to reduce mean and variance of cycle-time in semiconductor manufacturing plants

4. Scheduling semiconductor wafer fabrication by using ordinal optimization-based simulation

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