ProceedingsIEEE, 1997 - Artificial intelligence |
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Page 506
... collection computer acquires equipment data every second and makes it available for real time modeling . The data is modeled using a multivariate analysis algorithm and the results are stored until needed . The collected and analyzed ...
... collection computer acquires equipment data every second and makes it available for real time modeling . The data is modeled using a multivariate analysis algorithm and the results are stored until needed . The collected and analyzed ...
Page 524
... Collection There was two areas of data collection needed for this research . The first involved the collection of data for the construction of the simulation model . As mentioned earlier this data originated from SEMATECH Dataset # 1 ...
... Collection There was two areas of data collection needed for this research . The first involved the collection of data for the construction of the simulation model . As mentioned earlier this data originated from SEMATECH Dataset # 1 ...
Page 528
... collection software allows the user to collect and store data from every wafer that is processed . The ability to retrieve the data and review either individual wafer information or data trends has become an effective tool for ...
... collection software allows the user to collect and store data from every wafer that is processed . The ability to retrieve the data and review either individual wafer information or data trends has become an effective tool for ...
Contents
Innovations in Design and Integrated | 1 |
Creative and Innovative Manufacturing | 4 |
Y Fan and C Wu Tsinghua Univ | 7 |
Copyright | |
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activities algorithm analysis application approach architecture assembly sequence ATRT Automation communication configuration constraints control system customers cycle database deadlock defined dispatching dynamic Engineering enterprise environment error evaluation example factory FDDI Fieldbus fixture components fixture design flexible manufacturing function fuzzy fuzzy sets heuristic IEEE implementation inaccuracy induction motor industrial information system input integration interaction interface iterative learning control learning linear load machine MACIP manufacturing systems mass customization module multimedia neural neural network node object oriented optimal output paper parameters performance Petri net Petri nets planning plant presented problem proposed protocol real-time requirements robot Rolls-Royce Motor Cars scheduling selected server simulation solution station structure task token tool transition transition set vector virtual design virtual prototype Windows NT WinFT workstation