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Title: Sustainable Management of the Supply Chain Based on Fuzzy Logic
Author: Barcellos de Paula, Luciano
Gil Lafuente, Anna Maria
Rezende, Aline
Keywords: Presa de decisions
Lògica borrosa
Logística industrial
Desenvolupament sostenible
Teoria d'operadors
Decision making
Fuzzy logic
Business logistics
Sustainable development
Operator theory
Issue Date: Aug-2021
Publisher: Taylor & Francis Group
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.
Note: Versió postprint del document publicat a:
It is part of: Cybernetics and Systems, 2021, vol. 52, num. 7, p. 579-600
Related resource:
ISSN: 0196-9722
Appears in Collections:Articles publicats en revistes (Empresa)

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