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

Alberto Quaglia; Bent Sarup; Gürkan Sin; Rafiqul Gani

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

Alberto Quaglia, Bent Sarup, Gürkan Sin, Rafiqul Gani

Department of Chemical and Biochemical Engineering

Alfa Laval

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of the 23rd European Symposium on Computer Aided Process Engineering – ESCAPE 23
Publisher	Elsevier
Publication date	2013
Pages	661-666
Publication status	Published - 2013
Event	23rd European Symposium on Computer Aided Process Engineering - Lappeenranta, Finland Duration: 9 Jun 2013 → 12 Jun 2013

Conference

Conference	23rd European Symposium on Computer Aided Process Engineering
Country/Territory	Finland
City	Lappeenranta
Period	09/06/2013 → 12/06/2013

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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title = "Design of a Generic and Flexible Data Structure for Efficient Formulation of Large Scale Network Problems",

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.",

keywords = "Enterprise-Wide Optimization, Process Synthesis and Design, Information Management, Decision-Making, Data Structure",

author = "Alberto Quaglia and Bent Sarup and G{\"u}rkan Sin and Rafiqul Gani",

note = "Alberto Quaglia, Bent Sarup, G{\"u}rkan 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; 23rd European Symposium on Computer Aided Process Engineering, ESCAPE 23 ; Conference date: 09-06-2013 Through 12-06-2013",

year = "2013",

language = "English",

pages = "661--666",

booktitle = "Proceedings of the 23rd European Symposium on Computer Aided Process Engineering – ESCAPE 23",

publisher = "Elsevier",

address = "United Kingdom",

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Quaglia, A, Sarup, B, Sin, G & Gani, R 2013, Design of a Generic and Flexible Data Structure for Efficient Formulation of Large Scale Network Problems. in Proceedings of the 23rd European Symposium on Computer Aided Process Engineering – ESCAPE 23. Elsevier, pp. 661-666, 23rd European Symposium on Computer Aided Process Engineering, Lappeenranta, Finland, 09/06/2013.

Design of a Generic and Flexible Data Structure for Efficient Formulation of Large Scale Network Problems. / Quaglia, Alberto; Sarup, Bent; Sin, Gürkan et al.
Proceedings of the 23rd European Symposium on Computer Aided Process Engineering – ESCAPE 23. Elsevier, 2013. p. 661-666.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - 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.

KW - Enterprise-Wide Optimization

KW - Process Synthesis and Design

KW - Information Management

KW - Decision-Making

KW - Data Structure

M3 - Article in proceedings

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BT - Proceedings of the 23rd European Symposium on Computer Aided Process Engineering – ESCAPE 23

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ER -

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

Abstract

Conference

Bibliographical note

Keywords

OpenUrl availability

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