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T Moser, M. Merdan, S. Biffl:
"A Pattern-Based Coordination and Test Framework for Multi-Agent Simulation of Production Automation Systems";
Vortrag: 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010), Krakow, Poland; 15.02.2010 - 18.02.2010; in: "Proceedings of the 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010)", IEEE Computer Society, (2010), ISBN: 978-0-7695-3967-6; 8 S.

Production automation systems consist of many
entities (like robots and shuttles) that interact in complex ways
to provide the overall system functionality like product
assembly. Multi-Agent Systems (MAS) can simulate these
system entities and their interactions to better understand the
system behavior according to production strategies and system
configuration, which are otherwise hard to determine before
their (costly) implementation. A main challenge is to
coordinate the groups of agents effectively to reach a common
production goal, e.g., fast and robust delivery on customer
orders for assembling a set of products. In this paper, we
introduce the pattern-based extension of the MAS-based
manufacturing agent simulation tool (MAST) to support the
simulation and evaluation of business processes in an assembly
workshop: a layered coordination and test framework has been
implemented and evaluated in cooperation with industry
partners. Domain experts found the coordination patterns
usable and useful to elicit their knowledge. The test framework
allowed exploring the effects of production strategies on the
system 30 times faster than with a real-world hardware
workshop.

Production Automation Simulation; Coordination in Multi-Agent Systems; Coordination Patterns

http://publik.tuwien.ac.at/files/PubDat_185315.pdf