Imperial College London
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DrGonzaloGuillén-Gosálbez

Faculty of Engineering, Department of Chemical Engineering

Visiting Professor
 
 
 
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Contact

 

g.guillen05

 
 
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Location

 

ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wheeler:2016:10.1016/j.compchemeng.2016.10.014,
author = {Wheeler, J and Caballero, JA and Ruiz-Femenia, R and Guillen-Gosalbez, G and Mele, FD},
doi = {10.1016/j.compchemeng.2016.10.014},
journal = {Computers and Chemical Engineering},
pages = {64--80},
title = {MINLP-based Analytic Hierarchy Process to simplify multi-objective problems: Application to the design of biofuels supply chains using on field surveys},
url = {http://dx.doi.org/10.1016/j.compchemeng.2016.10.014},
volume = {102},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Wheeler,J
AU  - Caballero,JA
AU  - Ruiz-Femenia,R
AU  - Guillen-Gosalbez,G
AU  - Mele,FD
DO  - 10.1016/j.compchemeng.2016.10.014
EP  - 80
PY  - 2016///
SN  - 1873-4375
SP  - 64
TI  - MINLP-based Analytic Hierarchy Process to simplify multi-objective problems: Application to the design of biofuels supply chains using on field surveys
T2  - Computers and Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.compchemeng.2016.10.014
VL  - 102
ER  -
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