Planning and control
Job shop scheduling by simulated annealing
Operations Research
Industrial and practical applications of DAI
Multiagent systems
Interaction Protocols in Agentis
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Enacting agent-based services for automated procurement
Engineering Applications of Artificial Intelligence
A multi-agent system for course timetabling
Intelligent Decision Technologies
On the cost of agent-awareness for negotiation services
AOIS'05 Proceedings of the 7th international conference on Agent-Oriented Information Systems III
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Nowadays, manufacturing industries need more flexible scheduling systems by means of which users can manipulate certain dynamics such as: (i) receiving the changes which impact on a schedule, (ii) simulating a certain condition as an input to scheduling, with the possibility of selecting or rejecting the new result, (iii) concurrent planning and execution. In this paper, a multi-agent system applied to dynamic job shop scheduling and planning is introduced. The above mentioned problems were solved by: i) coupling reactive and pro-active agent behavior, ii) applying a stochastic method named simulated annealing, iii) achieving agent interaction among a large number of micro-scale agents, from which the plan is emerged. As a result we have succeeded in replacing the existing scheduling module of a software product (VisualProd).