A fuzzy-neural approach for optimizing the performance of job dispatching in a wafer fabrication factory

摘要: A fuzzy-neural approach is presented in this study to optimize the performance of job dispatching a wafer fabrication factory. The traditional optimization methods field have few problems. To tackle these problems, we performed several treatments. First, applied more effective estimate remaining cycle time job. Then established systematic procedure determine optimal values parameters two-factor tailored nonlinear fluctuation smoothing rule for mean time, order scheduling performance. assess effectiveness proposed methodology, conducted production simulation. According experimental results, methodology better than existing approaches optimizing average time.