DocumentCode :
2336025
Title :
A knowledge based and a hybrid system to evaluate flexible manufacturing systems
Author :
Kovács, G.L. ; Nacsa, J. ; Gavalcová, D.
Author_Institution :
Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
3570
Abstract :
Computer aided simulation can assist both in the design and operation of flexible manufacturing systems (FMS). A proper simulation model of a given FMS could be the best tool to validate it and to evaluate its performance. System control can be solved by separating the control from the FMS with a communication interface. In this case it is possible to use the simulated system for investigations instead of the real system. Such simulation systems can be built up using expert system shells. In this paper an FMS simulation system (SSQA) will be introduced with the hybrid application of expert systems and a traditional simulation software. The system has some evaluation, scheduling and quality control power as well, according to the implemented advisory systems which communicate with the simulation package. As an alternative of the hybrid system a pure knowledge based system is discussed. The comparison of the two systems using the same CIM pilot plant is also given
Keywords :
digital simulation; expert systems; flexible manufacturing systems; production control; quality control; FMS; SSQA; computer-aided simulation; expert system shells; flexible manufacturing systems; hybrid system; knowledge-based system; Application software; Communication system control; Computational modeling; Computer aided manufacturing; Computer simulation; Control systems; Expert systems; Flexible manufacturing systems; Job shop scheduling; Quality control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351575
Filename :
351575
Link To Document :
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