Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty

•We present a data-driven algorithm for the solution of integrated planning and scheduling problems under uncertainty.•The proposed algorithm is based upon the recently developed DOMINO framework for the solution of single-follower bi-level problems, which is here extended for the solution of bi-lev...

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Veröffentlicht in:	Computers & chemical engineering Jg. 156; H. C; S. 107551
Hauptverfasser:	Beykal, Burcu, Avraamidou, Styliani, Pistikopoulos, Efstratios N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.01.2022 Elsevier
Schlagworte:	Bi-level programming Data-driven optimization Demand uncertainty ENGINEERING Feasibility Integrated planning and scheduling MATHEMATICS AND COMPUTING Stochastic analysis Stochastic analysis Feasibility Integrated planning and scheduling Bi-level programming Data-driven optimization Demand uncertainty Bi-level Programming Data-driven Optimization Integrated Planning and Scheduling Demand Uncertainty Stochastic Analysis
ISSN:	0098-1354, 1873-4375
Online-Zugang:	Volltext
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