作者: Pei-Chann Chang , Jih-Chang Hsieh , T. Warren Liao
关键词: Wafer fabrication 、 Wafer 、 Case-based reasoning 、 Industrial engineering 、 Scheduling (production processes) 、 Artificial intelligence 、 Artificial neural network 、 Computer science 、 Production planning 、 Assignment problem
摘要: This study explores a new application of Case-Based Reasoning (CBR) in the due-date assignment problem wafer fabrication factory. Owing to complexity fabrication, manufacturing processes are very complicated and time-consuming. Thus, each order presents challenging production planning scheduling people. Since product is closely related products manufactured before, CBR approach provides good tool for us apply it problem. The system could potentially replace human decision estimation due-date. Therefore, developed this using similarity coefficient with previous orders. experimental results show that proposed effective comparable neural network approach.