Article ID: | iaor2004996 |
Country: | United States |
Volume: | 16 |
Issue: | 4 |
Start Page Number: | 273 |
End Page Number: | 279 |
Publication Date: | Nov 1999 |
Journal: | Expert Systems |
Authors: | Li L.L.X. |
Keywords: | artificial intelligence: expert systems |
An architectural configuration of a knowledge-based system for production rescheduling reported in this paper uncovers a number of points of interest to practitioners as well as researchers. The study shows that knowledge-based methods applied to production rescheduling are a valuable approach for manufacturers to manage production disturbances and deliver customer orders on time. Very often, developing an effective scheduling system whilst solving some problems requires an appropriate combination of a rigorous analysis of the production system state and the rules of thumb used by the human scheduler. In the actual performance of this hybrid system, an expert simulation system was used to produce new schedules that fit the real production environment.