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

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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Bibliographic Details
Main Authors: Hasan Nikkhah, Zahir Aghayev, Amir Shahbazi, Vassilis M. Charitopoulos, Styliani Avraamidou, Burcu Beykal
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Digital Chemical Engineering
Subjects:
Data-driven optimization
Integrated planning and scheduling
Bi-level programming
Mixed-integer nonlinear programming
Online Access:http://www.sciencedirect.com/science/article/pii/S277250812500002X
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