Steel manufacturing involves complex scheduling because of the interdependence between the steelmaking and rolling processes. This study proposes an integrated scheduling model for long-term planning of these processes under uncertainty. The proposed model abstracts an existing detailed scheduling model using two key techniques: charge integration and rolling process simplification. Through numerical experiments, we evaluated the characteristics and effectiveness of the model under different objective functions and time and resource buffer allocation strategies. The results demonstrate that the model achieves computational efficiency while maintaining accuracy.

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