Probability, statistics, and queueing theory with computer science applications
Probability, statistics, and queueing theory with computer science applications
Planning in distributed artificial intelligence
Foundations of distributed artificial intelligence
Distributed rational decision making
Multiagent systems
Multi-Agent coordination based on tokens: reduction of the bullwhip effect in a forest supply chain
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A key-based coordination algorithm for dynamic readiness and repair service coordination
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Productivity improvement: shifting bottleneck detection
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
An integrated token-based algorithm for scalable coordination
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multi-agent coordination using local search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Robust coordination to sustain throughput of an unstable agent network
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Multiagent coordination for controlling complex and unstable manufacturing processes
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
In this paper, we present a multi-agent control method for a large-scale network system. We propose an extension of a token-based coordination technique to improve the tradeoff between two conflicting objectives of the network system: reducing the lead time and increasing throughput. In our system, CABS, information about an agent's urgency of jobs to fulfill demanded throughput and to maintain its utilization is passed from downstream agents in the network so that upstream agents can provide necessary and sufficient jobs to bottleneck agents whose loss of capacity degrades the total system performance. We empirically evaluate CABS performance using a benchmark problem of the semiconductor fabrication process, which is a good example of a large-scale network system.