23 European Symposium on Computer Aided Process Engineering
Auteur : Alberto Quaglia, Bent Sarup, Gürkan Sin, Rafiqul Gani
Date de publication : 2013-06-10
Éditeur : Elsevier Inc. Chapters
Nombre de pages : 1088
Résumé du livre
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.