Integration of simulation modeling and inductive learning in an adaptive decision support system
Decision Support Systems - Special issue on model management systems
Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
Multi-Machine Scheduling - A Multi-Agent Learning Approach
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
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In this paper, we extend the Product-Resource-Order-Staff-Architecture (PROSA) for holonic manufacturing systems towards ensuring adaptive behavior of agent-based manufacturing control systems. PROSA suggests the usage 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 adjusted properly in a situation-dependent manner. We describe the architecture of adaptive staff agents and their interaction with the other agents of the manufacturing control system. We present an example for using adaptive staff agents in the semiconductor manufacturing domain.