Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

711940.pdf (1.14 MB)

Document type

Article

Version

Accepted version

Publication date

2021-08

All rights reserved

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/179079

Sustainable Management of the Supply Chain Based on Fuzzy Logic

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

https://doi.org/10.1080/01969722.2021.1910763

Abstract

Companies face a number of management challenges, and decision makers must adopt new approaches that consider sustainable development in their operations. In this context, the article aims to address sustainable supply chain management and propose solutions based on a fuzzy logic. Three distance measurement algorithms are applied to evaluate and classify suppliers in a consumer goods industry. The results demonstrate the usefulness of the algorithms in decision-making and bring a contribution to the sustainable development of companies. Furthermore, it supports future studies on sustainable management, the supply chain, and the application of algorithms to sustainability.

Subject

Presa de decisions, Lògica borrosa, Logística industrial, Desenvolupament sostenible, Teoria d'operadors

Subject (English)

Decision making, Fuzzy logic, Business logistics, Sustainable development, Operator theory

Citation

Collections

Articles publicats en revistes (Empresa)

Citation

BARCELLOS DE PAULA, Luciano, GIL LAFUENTE, Anna Maria and REZENDE, Aline. Sustainable Management of the Supply Chain Based on Fuzzy Logic. Cybernetics and Systems. 2021. Vol. 52, num. 7, pags. 579-600. ISSN 0196-9722. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/179079

Export metadata

JSON - METS

Share record