公开(公告)号：US20180150066A1

公开(公告)日：2018-05-31

申请号：US15371170

申请日：2016-12-06

申请人： INSTITUTE FOR INFORMATION INDUSTRY

发明人： Cheng-Hui CHEN ,  Hung-An KAO ,  Hung-Sheng CHIU ,  Hsiao-Chen CHANG

IPC分类号： G05B19/418

CPC分类号： G05B19/41865 ,  G05B2219/24018 ,  G05B2219/25419 ,  G05B2219/32239 ,  G05B2219/32267 ,  Y02P90/14 ,  Y02P90/18 ,  Y02P90/20

摘要： The present disclosure provides a scheduling system and method. This method includes steps as follow. A communication device is connected to a plurality processing stations and receives instant process data of each processing station, where the instant process data includes a main program number and a processing time. According to target yield, delivery time and the instant process data of the processing stations, production line scheduling is calculated, and an estimated production is forecasted. It is determined that whether the actual production of the production line scheduling matches the estimated production. When the actual production is lower than the estimated production, based on the instant process data, a bottleneck station is determined from the processing stations. The machine diagnosis is performed on the bottleneck station to identify an abnormal cause.

公开(公告)号：US20170115332A1

公开(公告)日：2017-04-27

申请号：US15145813

申请日：2016-05-04

申请人： INSTITUTE FOR INFORMATION INDUSTRY

发明人： Hung-Sheng CHIU ,  Jun-Ren CHEN ,  Hung-An KAO ,  Cheng-Hui CHEN ,  Yung-Yi HUANG ,  Hsiao-Chen CHANG

IPC分类号： G01R21/133 ,  G06N5/02

CPC分类号： G01R21/133 ,  G06N5/02

摘要： An electricity consumption predicting system includes a knowledge database, a decomposition module, a mapping module and a predicting module. The knowledge database stores model information. The module information records a corresponding relation between each of a plurality of NC program blocks and an electricity consumption value thereof. The decomposition module decomposes a processing program into the NC program blocks, and acquires processing information corresponding to the each of the NC program blocks. The mapping module generates a predictive block electricity consumption value of the each of the NC program blocks according to the NC program blocks, the corresponding processing information and the model information. The predicting module sums up the predictive block electricity consumption values corresponding to the NC program blocks to generate a predictive processing program electricity consumption value.