A multi-objective supplier selection framework based on user-preferences

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dc.contributor.authorToffano, Federico
dc.contributor.authorGarraffa, Michele
dc.contributor.authorLin, Yiqing
dc.contributor.authorPrestwich, Steven D.
dc.contributor.authorSimonis, Helmut
dc.contributor.authorWilson, Nic
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderIrish Research eLibraryen
dc.date.accessioned2022-07-27T10:56:43Z
dc.date.available2022-07-27T10:56:43Z
dc.date.issued2021-10-21
dc.date.updated2022-07-27T10:48:11Z
dc.description.abstractThis paper introduces an interactive framework to guide decision-makers in a multi-criteria supplier selection process. State-of-the-art multi-criteria methods for supplier selection elicit the decision-maker’s preferences among the criteria by processing pre-collected data from different stakeholders. We propose a different approach where the preferences are elicited through an active learning loop. At each step, the framework optimally solves a combinatorial problem multiple times with different weights assigned to the objectives. Afterwards, a pair of solutions among those computed is selected using a particular query selection strategy, and the decision-maker expresses a preference between them. These two steps are repeated until a specific stopping criterion is satisfied. We also introduce two novel fast query selection strategies, and we compare them with a myopically optimal query selection strategy. Computational experiments on a large set of randomly generated instances are used to examine the performance of our query selection strategies, showing a better computation time and similar performance in terms of the number of queries taken to achieve convergence. Our experimental results also show the usability of the framework for real-world problems with respect to the execution time and the number of loops needed to achieve convergence.en
dc.description.sponsorshipScience Foundation Ireland (Grant Nos. 12/RC/2289 and 12/RC/2289-P2 which are co-funded under the European Regional Development Fund); Irish Research eLibrary (Open Access funding provided by the IReL Consortium)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationToffano, F., Garraffa, M., Lin, Y., Prestwich, S. D., Simonis, H. and Wilson, N. (2021) 'A multi-objective supplier selection framework based on user-preferences', Annals of Operations Research, 308, pp. 609-640. doi: 10.1007/s10479-021-04251-5en
dc.identifier.doi10.1007/s10479-021-04251-5en
dc.identifier.endpage640en
dc.identifier.issn0254-5330
dc.identifier.journaltitleAnnals of Operations Researchen
dc.identifier.startpage609en
dc.identifier.urihttps://hdl.handle.net/10468/13409
dc.identifier.volume308en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.urihttps://doi.org/10.1007/s10479-021-04251-5
dc.rights© The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectSupplier selectionen
dc.subjectPreference elicitationen
dc.subjectIncremental elicitationen
dc.subjectMulti-attribute utility theoryen
dc.subjectMulti-objective optimizationen
dc.subjectMathematical programmingen
dc.titleA multi-objective supplier selection framework based on user-preferencesen
dc.typeArticle (peer-reviewed)en
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