By Topic

An Ontology to Support Adaptive Agents for Complex Manufacturing Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Monch, L. ; Dept. of Math. & Comput. Sci., Univ. of Hagen, Hagen ; Zimmermann, J.

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.

Published in:

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

Date of Conference:

July 28 2008-Aug. 1 2008