Design of a Generic and Flexible Data Structure for Efficient Formulation of Large Scale Network Problems

Alberto Quaglia, Bent Sarup, Gürkan Sin, Rafiqul Gani

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 23rd European Symposium on Computer Aided Process Engineering – ESCAPE 23
PublisherElsevier
Publication date2013
Pages661-666
Publication statusPublished - 2013
Event23rd European Symposium on Computer Aided Process Engineering - Lappeenranta, Finland
Duration: 9 Jun 201312 Jun 2013

Conference

Conference23rd European Symposium on Computer Aided Process Engineering
CountryFinland
CityLappeenranta
Period09/06/201312/06/2013

Bibliographical note

Alberto Quaglia, Bent Sarup, Gürkan Sin, Rafiqul Gani, 2013, “Design of a Generic and Flexible Data Structure for Efficient Formulation of Large Scale Network Problems”, Computer-Aided Chemical Engineering Series, Volume 32, pp. 661-666
Reviewed Conference proceeding

Keywords

  • Enterprise-Wide Optimization
  • Process Synthesis and Design
  • Information Management
  • Decision-Making
  • Data Structure

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