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Proposing an architectural framework of a hybrid knowledge‐based system for production rescheduling
Author(s) -
Li Lynn Ling X
Publication year - 1999
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/1468-0394.00119
Subject(s) - computer science , scheduling (production processes) , rule of thumb , production (economics) , industrial engineering , operations research , software engineering , operations management , algorithm , engineering , economics , macroeconomics
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.