Planning and scheduling of steel plates production. Part I: Estimation of production times via hybrid Bayesian networks for large domain of discrete variables

Knowledge of the production loads and production times is an essential ingredient for making successful production plans and schedules. In steel production, the production loads and the production times are impacted by many uncertainties, which necessitates their prediction via stochastic models. In...

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Veröffentlicht in:	Computers & chemical engineering 2015-08, Vol.79, p.113-134
Hauptverfasser:	Mori, Junichi, Mahalec, Vladimir
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Decision tree Estimation of production time Hybrid Bayesian network Inference Iron and steel making Large domain of discrete variables Mathematical models Networks Scheduling Steel plate production Steels Structure learning
Online-Zugang:	Volltext
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