Quaglia, Alberto1; Sarup, Bent3; Sin, Gürkan4; Gani, Rafiqul1
1 Department of Chemical and Biochemical Engineering, Technical University of Denmark2 Computer Aided Process Engineering Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark3 Alfa Laval Copenhagen A/S4 Centre for oil and gas – DTU, Center, Technical University of Denmark
The formulation of Enterprise-Wide Optimization (EWO) problems as mixed integer nonlinear programming requires collecting, consolidating and systematizing large amount of data, coming from different sources and specific to different disciplines. In this manuscript, a generic and flexible data structure for efficient formulation of enterprise-wide optimization problems is presented. Through the integration of the described data structure in our synthesis and design framework, the problem formulation workflow is automated in a software tool, reducing time and resources needed to formulate large problems, while ensuring at the same time data consistency and quality at the application stage.
Proceedings of the 23rd European Symposium on Computer Aided Process Engineering – Escape 23, 2013, p. 661-666
Enterprise-Wide Optimization; Process Synthesis and Design; Information Management; Decision-Making; Data Structure
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23rd European Symposium on Computer Aided Process Engineering, 2013