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Strengthening short food supply chains: Prioritizing obstacles and opportunities with PROMETHEE, Fuzzy DEMATEL, and Fuzzy TOPSIS class

dc.contributor.authorPinto, Giovana Degaspari
dc.contributor.authorCassânego, Vitor Melão
dc.contributor.authorZanon, Lucas Gabriel
dc.contributor.authorFerraz, Diogo [UNESP]
dc.contributor.authordo Nascimento Rebelatto, Daisy Aparecida
dc.date.accessioned2026-04-27T23:44:08Z
dc.date.issued2025-11-01
dc.description.abstractWith the growing search for sustainable food systems, short food supply chains (SFSC) are emerging as a solution to reduce environmental impacts and promote local economic development. However, the strengthening of these chains faces several challenges that need to be addressed by researchers and decision-makers. This research aims to investigate and prioritize opportunities that significantly impact the obstacles to strengthening SFSCs using multi-criteria decision methods. The research adopts the concept of SFSC, which refers to short food chains that shorten the distance between producers and consumers. It also explores the opportunities and obstacles as factors that can facilitate and hinder the development and implementation of these chains. Using multi-criteria decision methods such as Fuzzy TOPSIS class, PROMETHEE II, and Fuzzy DEMATEL, the research carries out a detailed analysis of the opportunities and obstacles. Data was collected through document analysis and experts’ evaluation. The results highlight obstacles and opportunities with potential for intervention and implementation. The findings not only contribute to the development of SFSCs but also provide a systemic view of agri-food systems, advancing knowledge in the area and guiding strategies to improve the efficiency and sustainability of these systems.
dc.description.affiliationDepartment of Production Engineering, University of São Paulo, São Carlos, Brazil
dc.description.affiliationDepartment of Production Engineering, Federal University of São Paulo, São Carlos, Brazil
dc.description.affiliationDepartment of Economics, University of Hohenheim, Stuttgart, Germany
dc.description.affiliationDepartment of Economics, Federal University of Ouro Preto, Mariana, Brazil
dc.description.affiliationDepartment of Production Engineering, Sao Paulo State University, Bauru, Brazil
dc.description.affiliationUnespDepartment of Production Engineering, Sao Paulo State University, Bauru, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1190609819
dc.identifier.dimensionspub.1190609819
dc.identifier.doi10.1016/j.ijpe.2025.109732
dc.identifier.issn0925-5273
dc.identifier.issn1873-7579
dc.identifier.orcid0000-0001-5452-5425
dc.identifier.orcid0000-0003-3529-9340
dc.identifier.orcid0000-0003-4004-0405
dc.identifier.orcid0000-0003-4037-7171
dc.identifier.orcid0000-0003-0611-1492
dc.identifier.urihttps://hdl.handle.net/11449/322789
dc.publisherElsevier
dc.relation.ispartofInternational Journal of Production Economics; v. 289; p. 109732
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleStrengthening short food supply chains: Prioritizing obstacles and opportunities with PROMETHEE, Fuzzy DEMATEL, and Fuzzy TOPSIS class
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication47f5cbd3-e1a4-4967-9c9f-2747e6720d28
relation.isOrgUnitOfPublication.latestForDiscovery47f5cbd3-e1a4-4967-9c9f-2747e6720d28
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, Baurupt

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