A comparison of strategies to dampen nervousness in MRP systems
Management Science
Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
How to calm hyperactive agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Multi-agent coordination and control using stigmergy
Computers in Industry
Emergent forecasting using a stigmergy approach in manufacturing coordination and control
Engineering Self-Organising Systems
Engineering manufacturing control systems using PROSA and delegate MAS
International Journal of Agent-Oriented Software Engineering
Intelligent products: Agere versus Essere
Computers in Industry
Self-organization and multiagent systems: II. Applications and the development technology
Journal of Computer and Systems Sciences International
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This paper discusses a study on system nervousness in a multi-agent manufacturing control system. Manufacturing control systems, built along this approach, are able to generate short-term forecasts that predict both resource loads and order routings. These forecasts become known throughout the multi-agent system with some time delay. If the agents make their decisions based on these forecasts, proper measures need to be taken to account for these delays, especially when disturbances (rush orders, machine breakdowns) occur. If agents react too eagerly and swiftly, the forecasts become unreliable. This paper studies this issue and the measures in the control system design that address the problem. More precisely, the agents behave in a socially acceptable manner that reconciles adaptation to changed circumstances with predictability.