Proceedings, Volumes 1-2IEEE, 2003 - Artificial intelligence |
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Page 95
... maintenance : the total cost . These two criteria are antagonistic , that is why we develop a multiobjective optimisation and genetic algorithm based method that determines simultaneously maintenance and production schedules for a job ...
... maintenance : the total cost . These two criteria are antagonistic , that is why we develop a multiobjective optimisation and genetic algorithm based method that determines simultaneously maintenance and production schedules for a job ...
Page 96
... maintenance ( we don't include the cost of the labor because we assume that is constant for all the maintenance tasks ) . The useful notations for the definition of the two studied criteria are summarized in table I. The combined ...
... maintenance ( we don't include the cost of the labor because we assume that is constant for all the maintenance tasks ) . The useful notations for the definition of the two studied criteria are summarized in table I. The combined ...
Page 415
... maintenance applications . The presentation is focused on basic requirements defining project's rationale and on the choice of technologies which contribute to the development of the platform I. INTRODUCTION Maintenance operations ...
... maintenance applications . The presentation is focused on basic requirements defining project's rationale and on the choice of technologies which contribute to the development of the platform I. INTRODUCTION Maintenance operations ...
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