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- W2133647319 abstract "To solve the scheduling problem in the manufacturing environment with dynamic demand and changing production requirements, we propose to develop an intelligent scheduling aid. The rules commonly used are studied through simulation experiments. During the experiment, seven performance measures are collected to evaluate the impact of different scheduling rules. Artificial neural networks are then trained to identi0 a set of good rules according to the desired system performance. This set of rules can be applied to the manufacturing system, or be studied for further improvement." @default.
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- W2133647319 date "2005-08-24" @default.
- W2133647319 modified "2023-09-26" @default.
- W2133647319 title "Develop Intelligent Scheduling Aids Using Simulation And Neural Networks" @default.
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- W2133647319 doi "https://doi.org/10.1109/simsym.1993.639157" @default.
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