Proceedings, Volumes 1-2IEEE, 2003 - Artificial intelligence |
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Page 14
2.1 shows the supply planning and arrival time points are related by two types method . The first is the backward method . This method uses the future demand forecast because of corresponding to the future demand after the laps of ...
2.1 shows the supply planning and arrival time points are related by two types method . The first is the backward method . This method uses the future demand forecast because of corresponding to the future demand after the laps of ...
Page 92
... shows an overview of how the diagram information from Rational ROSE is transformed . The two upper windows show diagrams from Rational ROSE . The bottom right window shows the Function Block diagram that is automatically created from ...
... shows an overview of how the diagram information from Rational ROSE is transformed . The two upper windows show diagrams from Rational ROSE . The bottom right window shows the Function Block diagram that is automatically created from ...
Page 132
... shows the setup of the case study . The demonstration shows the conception of web - enabled control , web - enabled reconfiguration , web - enabled application deployment and web - enabled real - time monitoring . A live demo of the ...
... shows the setup of the case study . The demonstration shows the conception of web - enabled control , web - enabled reconfiguration , web - enabled application deployment and web - enabled real - time monitoring . A live demo of the ...
Contents
Cooperative MultiAgentBased Control Technology for Supervisory and DataAcquisition Systems | 19 |
Distributed Product Development as a Core Element of Supply Chain Management | 35 |
A Review | 50 |
Copyright | |
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adaptation agents alarm algorithm analysis approach architecture automation behavior Bluetooth camera client communication components configuration control applications control system CORBA database defined detection developed diagnosis distributed distributed control systems domain dynamic embedded systems Engineering environment error evaluation event example execution fault fault injection field device fieldbus Figure filter flexible FPGA framework frequency Function Block genetic algorithms hardware IEEE implementation industrial input integration interaction interface Java layer machine maintenance manufacturing mechatronic method middleware mobile agents module monitoring multi-agent systems neuro-fuzzy nodes operation optimal organ-matrix output P₁ parameters pattern performance Petri nets pixel planning plant platform problem production proposed real-time requirements robot SCADA scheduling sensor sequence server signal simulation Simulink sliding mode control solution specific structure task variables