ProceedingsIEEE, 1997 - Artificial intelligence |
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Page xi
... integrated product and process design and its integration with CIM ) with examples Flexible , cellular manufacturing ( machining , electronic assembly , robotics , automobile design and manufacturing , etc. ) and its integration with ...
... integrated product and process design and its integration with CIM ) with examples Flexible , cellular manufacturing ( machining , electronic assembly , robotics , automobile design and manufacturing , etc. ) and its integration with ...
Page 2
... integration . The development of CCE ( Computer Integrated Manufacturing & Engineering Computing Environment ) is based on CIMOSA . The most important software technique is the enabling technique which utilizes middleware idea and ...
... integration . The development of CCE ( Computer Integrated Manufacturing & Engineering Computing Environment ) is based on CIMOSA . The most important software technique is the enabling technique which utilizes middleware idea and ...
Page 15
... Integrated Production Control System This paper presents an Intelligent & Integrated Production Control System ( IIPCS ) in factory and shows how IIPCS can control the production , quality , database . Figure 1 shows a relation between ...
... Integrated Production Control System This paper presents an Intelligent & Integrated Production Control System ( IIPCS ) in factory and shows how IIPCS can control the production , quality , database . Figure 1 shows a relation between ...
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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according activities algorithm allows analysis application approach architecture assembly ATRT Automation called communication complete components considered constraints control system cost customers decision defined described determined dispatching distributed dynamic effective Engineering enterprise environment error estimated example exists Figure fixture flexible flow function given implementation important improvement industrial input integration interaction interface INTRODUCTION knowledge lead learning load locating machine manuals manufacturing means measurements method nets object obtained operation optimal output parameters performance Petri planning plant position possible presented problem proposed prototype real-time reference represents requirements robot rules scheduling selected sequence server shown shows simulation solution specific standard station structure task token tool transition unit University virtual