Bi-level data-driven enterprise-wide optimization with mixed-integer nonlinear scheduling problems

Planning and scheduling are crucial components of enterprise-wide optimization (EWO). For the successful execution of EWO, it is vital to view the enterprise operations as a holistic decision-making problem, composed of different interconnected elements or layers, to make the most efficient use of r...

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Veröffentlicht in:	Digital Chemical Engineering Jg. 14; S. 100218
Hauptverfasser:	Nikkhah, Hasan, Aghayev, Zahir, Shahbazi, Amir, Charitopoulos, Vassilis M., Avraamidou, Styliani, Beykal, Burcu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier Ltd 01.03.2025 Elsevier
Schlagworte:	Bi-level programming Data-driven optimization Integrated planning and scheduling Mixed-integer nonlinear programming Integrated planning and scheduling Bi-level programming Mixed-integer nonlinear programming Data-driven optimization
ISSN:	2772-5081, 2772-5081
Online-Zugang:	Volltext
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