A fuzzy dynamic-prioritization agent-based system was developed in this study to improve the forecasting of the cycle time of a job in a wafer fabrication plant (wafer fab). In this system, multiple fuzzy agents forecast the cycle time of a job from various viewpoints, after which the aggregation and evaluation agent aggregates these fuzzy cycle time forecasts using an innovative operator (i.e., the fuzzy weighted intersection) into a single representative value. Subsequently, the optimization agent varies the authority levels of the fuzzy cycle time forecasting agents to optimize the forecasting performance. A practical example was used to evaluate the effectiveness of the fuzzy dynamic-prioritization agent-based system. The experiment results indicated that the fuzzy dynamic-prioritization agent-based system outperformed three rival methods in improving forecasting accuracy. In addition, the forecasting performance could be enhanced by discriminating the authority levels of the fuzzy cycle time forecasting agents.

在这项研究中，开发了一种基于模糊动态优先级代理的系统，以改善对晶圆制造厂（晶圆厂）中作业的周期时间的预测。在该系统中，多个模糊代理从各个角度预测了作业的周期时间，然后聚合和评估代理使用创新算子（即模糊加权交集）将这些模糊周期时间预测汇总到单个代表值中。随后，优化代理会更改模糊周期时间预测代理的权限级别，以优化预测性能。一个实际的例子被用来评估基于模糊动态优先代理的系统的有效性。实验结果表明，基于模糊动态优先代理的系统在提高预测精度方面优于三种竞争方法。另外，可以通过区分模糊周期时间预测代理的权限级别来增强预测性能。