Penalty Function-based Hybrid Shop Floor Control System
نویسندگان
چکیده
Varying degrees of autonomy of subordinate agents and their effects to the global performance have not been studied. In this paper, a new hybrid control architecture is proposed with the capability of dynamic update of autonomy of agents. The key feature is the penalty function, which indicates the degree of negative impact of changing the original schedule on the global performance. The penalty function is used by subordinate agents in their quick revision of schedules to react to a disturbance without degrading the global performance. We present math programming formulations, metrics for disturbances and autonomy, and illustration using an example.
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