Manufacturing Systems Scheduling through Machine Learning
نویسندگان
چکیده
The problem of manufacturing systems scheduling by means of dispatching rules is that these rules depend on the state in which the system is in every moment. Therefore it would be interesting to use in every state of the system, the most adequate dispatching rule to that state. To achieve this goal, it is presented in this paper a scheduling approach which uses machine learning. This approach, according to the previous performance of the system (training examples), is capable of working out the most appropriate dispatching rule for every state of the system.
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تاریخ انتشار 1998