Neural Computing and Applications

, Volume 23, Supplement 1, pp 353–367 | Cite as

A fuzzy-neural approach for supporting three-objective job scheduling in a wafer fabrication factory

Original Article


This study is dedicated to three-objective scheduling in a wafer fabrication factory, which has rarely been discussed in the literature but is a very important task. Optimizing a single objective in a complex production system like a wafer fabrication factory is already quite complicated. Optimizing three objectives at the same time is obviously even more complicated. To this end, this study presents a fuzzy-neural approach that fuses three existing rules in a nonlinear way, and which can be tailored, and even optimized, for a wafer fabrication factory. To assess the effectiveness of the proposed methodology, production simulation is also applied in this study. According to the experimental results, the proposed methodology is better than some existing approaches in reducing the average cycle time, the maximum lateness, and cycle time standard deviation.


Wafer fabrication Scheduling Fuzzy Neural 



This work was supported by the National Science Council of Taiwan.


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Department of Industrial Engineering and Systems ManagementFeng Chia UniversityTaichung CityTaiwan 407, ROC

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