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

fYear

2008

fDate

July 28 2008-Aug. 1 2008

Firstpage

531

Lastpage

536

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Software and Applications, 2008. COMPSAC '08. 32nd Annual IEEE International

Conference_Location

Turku

ISSN

0730-3157

Print_ISBN

978-0-7695-3262-2

Electronic_ISBN

0730-3157

Type

conf

DOI

10.1109/COMPSAC.2008.145

Filename

4591615