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A Three-Level Decision Support Approach Based on Multi-objective Simulation-Optimization and DEA: A Supply Chain Application

2023Book part Open access
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dc.contributor.authorLuís Pedro Gomes
dc.contributor.authorAntónio Vieira
dc.contributor.authorRui Fragoso
dc.contributor.authorAlmeida, Dora
dc.contributor.authorLuís Coelho
dc.contributor.authorJosé Maia Neves
dc.date.accessioned2024-04-24T12:28:21Z
dc.date.available2024-04-24T12:28:21Z
dc.date.issued2023
dc.date.updated2024-04-22T15:31:25Z
dc.description.abstractDecision-making in multi-objective problems is a complex problem with several approaches existing in the literature. Many such approaches typically combine simulation and optimization methods to achieve a robust tool capable of providing useful information to decision-makers. While simulation helps decision-makers to test alternative scenarios and allows uncertainty to be considered, optimization enables them to find the best alternatives for specific conditions. This paper proposes an alternative approach consisting of three levels, wherein we use simulation to model complex scenarios, simulation-optimization to identify the scenarios of the Pareto-front, and Data Envelopment Analysis to identify the most efficient solutions, including those not belonging to the Pareto-front, thereby exploiting the benefits of efficiency analysis and simulation-optimization. This can be useful when decisionmakers decide to consider scenarios that, while not optimum, are efficient for their decision-making profile. To test our approach, we applied it to a supply chain design problem. Our results show how our approach can be used to analyze a given system from three different perspectives and that some of the solutions, while not optimum, are efficient. In traditional approaches, such scenarios could be overlooked, despite their efficiency for specific decision-making profiles.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.doi10.1007/978-3-031-46439-3_14pt_PT
dc.identifier.slugcv-prod-3598007
dc.identifier.urihttp://hdl.handle.net/10400.26/50721
dc.language.isoN/Apt_PT
dc.relationCenter for Advanced Studies in Management and Economics
dc.subjectSimulationpt_PT
dc.subjectMulti-objective simulation-optimizationpt_PT
dc.subjectData envelopment analysispt_PT
dc.subjectSupply chain designpt_PT
dc.subjectDecision-makingpt_PT
dc.subjectEfficiencypt_PT
dc.titleA Three-Level Decision Support Approach Based on Multi-objective Simulation-Optimization and DEA: A Supply Chain Applicationpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleCenter for Advanced Studies in Management and Economics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04007%2F2020/PT
oaire.citation.conferencePlaceUniversity of Évorapt_PT
oaire.citation.titleOperational Researchpt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFortes de Almeida
person.givenNameDora Maria
person.identifierAAT-3650-2021
person.identifier.ciencia-id181D-7395-0348
person.identifier.orcid0000-0003-0224-8635
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaid181D-7395-0348 | Dora Maria Fortes de Almeida
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication9e19ad09-9b23-430a-8ca1-3bfcf63f8799
relation.isAuthorOfPublication.latestForDiscovery9e19ad09-9b23-430a-8ca1-3bfcf63f8799
relation.isProjectOfPublicationf0997387-ac8b-49b7-a075-469d61a09bd9
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