Postprint version. Published in Computers and Industrial Engineering, Volume 17, Issue 1, January 1, 1989, pages 101-106. Copyright © 1989 Published by Elsevier Science Ltd. DOI: http://dx.doi.org/10.1016/0360-8352(89)90044-2.
NOTE: At the time of publication, the author Sema Alptekin was not yet affiliated with Cal Poly.
Proper integration of scheduling and control in Flexible Manufacturing Systems will make available the required level of decision-making capacity to provide a flexibly-automated, efficient, and quality manufacturing process. To achieve this level of integration, the developments in computer technology and sophisticated techniques of artificial intelligence (AI) should be applied to such FMS functions as scheduling. In this paper, we present an Intelligent Scheduling System for FMS under development that makes use of the integration of two AI technologies. These two AI technologies — Neural Networks and Expert Systems — provide the intelligence that the scheduling function requires in order to generate good schedules within the restrictions imposed by real-time problems. Because the system has the ability to plan ahead and learn, it has a higher probability of success than conventional approaches. The adaptive behavior that will be achieved contribute to the integration of scheduling and control in FMS.
Industrial Engineering | Manufacturing