MINLP-based Analytic Hierarchy Process to simplify multi-objective problems: Application to the design of biofuels supply chains using on field surveys

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/65909
Información del item - Informació de l'item - Item information
Title: MINLP-based Analytic Hierarchy Process to simplify multi-objective problems: Application to the design of biofuels supply chains using on field surveys
Authors: Wheeler, Jonathan | Caballero, José A. | Ruiz-Femenia, Rubén | Guillén Gosálbez, Gonzalo | Mele, Fernando D.
Research Group/s: Computer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)
Center, Department or Service: Universidad de Alicante. Departamento de Ingeniería Química
Keywords: Optimization | Sustainability | Multi-criteria decision-making | Weighting
Knowledge Area: Ingeniería Química
Issue Date: 12-Jul-2017
Publisher: Elsevier
Citation: Computers & Chemical Engineering. 2017, 102: 64-80. doi:10.1016/j.compchemeng.2016.10.014
Abstract: Multi-objective optimization (MOO) is widely used in engineering systems design and planning. The solution of a MOO problem leads to a set of efficient points (Pareto set) from which decision-makers should identify the one that best fits their preferences. Generating this set requires large computational efforts, and the post-optimal analysis of the solutions becomes difficult as the number of objectives increases. This work introduces an approach based on the Analytic Hierarchy Process (AHP) to overcome these limitations. Through the definition of an aggregated objective function calculated using the AHP algorithm, a single-objective model is constructed that provides a unique Pareto solution of the original MOO model. The AHP is combined with a mixed-integer non-linear programming (MINLP) formulation that simplifies its application and is particularly suited to deal with many objectives (like those arising in sustainable engineering problems). The capabilities of the approach are demonstrated through a case study addressing the sustainable sugar/ethanol supply chain design problem.
Sponsor: The authors wish to acknowledge support from the CONICET, Argentina (project PIP 00785 and doctoral scholarship), and the Spanish Government (ENE2015-64117-C5-3-R, CTQ2016-77968-C3).
URI: http://hdl.handle.net/10045/65909
ISSN: 0098-1354 (Print) | 1873-4375 (Online)
DOI: 10.1016/j.compchemeng.2016.10.014
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2016 Elsevier Ltd.
Peer Review: si
Publisher version: http://dx.doi.org/10.1016/j.compchemeng.2016.10.014
Appears in Collections:INV - CONCEPT - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2017_Wheeler_etal_CompChemEng_final.pdfVersión final (acceso restringido)1,71 MBAdobe PDFOpen    Request a copy
Thumbnail2017_Wheeler_etal_CompChemEng_accepted.pdfAccepted Manuscript (acceso abierto)1,22 MBAdobe PDFOpen Preview

Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.