Title :
An Ontology to Support Adaptive Agents for Complex Manufacturing Systems
Author :
Monch, Lars ; Zimmermann, Jens
Author_Institution :
Dept. of Math. & Comput. Sci., Univ. of Hagen, Hagen
fDate :
July 28 2008-Aug. 1 2008
Abstract :
In this paper, we extend the FABMAS ontology towards its usage in adaptive production control systems for complex manufacturing systems. FABMAS is a hierarchically organized multi-agent-system for production control in the semiconductor manufacturing domain. It consists of decision-making and staff agents. Staff agents support the decision-making agents. We introduce adaptive staff agents. Adaptive staff agents make sure that the parameters of production control algorithms are properly adjusted in a situation-dependent manner. We derive necessary extensions of the FABMAS ontology based on the architecture of adaptive staff agents and their interaction with other agents of the manufacturing control system. We present an example for using the ontology within FABMAS.
Keywords :
manufacturing systems; multi-agent systems; ontologies (artificial intelligence); production control; semiconductor device manufacture; FABMAS ontology; adaptive production control systems; adaptive staff agents; complex manufacturing systems; decision making agents; hierarchically organized multi-agent system; semiconductor manufacturing; Adaptive control; Control systems; Decision making; Job shop scheduling; Manufacturing processes; Manufacturing systems; Ontologies; Production control; Programmable control; Semiconductor device manufacture; Adaptive Agents; Adaptive Production Control; Multi-Agent-System; Ontology;
Conference_Titel :
Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International
Conference_Location :
Turku
Print_ISBN :
978-0-7695-3262-2
Electronic_ISBN :
0730-3157
DOI :
10.1109/COMPSAC.2008.145
