This work concerns the use of multi-agent system models as a paradigm to support dynamic scheduling decisions. A dynamic class of scheduling problems has been considered, and a just-in-time manufacturing production has been assumed. In particular, the problem of scheduling independent jobs on identical parallel machines, to optimise a non-regular objective, including both job earliness and tardiness penalties, has been faced. Different classes of agents compose the multi-agent scheduling system, and a schedule is progressively defined by a negotiation protocol among the agents associated with the jobs and the machines.
A Multi-Agent Approach to Support Dynamic Scheduling Decisions
PAOLUCCI, MASSIMO;BOCCALATTE, ANTONIO
2002-01-01
Abstract
This work concerns the use of multi-agent system models as a paradigm to support dynamic scheduling decisions. A dynamic class of scheduling problems has been considered, and a just-in-time manufacturing production has been assumed. In particular, the problem of scheduling independent jobs on identical parallel machines, to optimise a non-regular objective, including both job earliness and tardiness penalties, has been faced. Different classes of agents compose the multi-agent scheduling system, and a schedule is progressively defined by a negotiation protocol among the agents associated with the jobs and the machines.
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