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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem

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Author(s):
Tautenhain, Camila P. S. [1] ; Barbosa-Povoa, Ana Paula [2] ; Mota, Bruna [2] ; Nascimento, Maria C. V. [1]
Total Authors: 4
Affiliation:
[1] Univ Fed Sao Paulo, Inst Ciencia & Tecnol, Sao Jose Dos Campos - Brazil
[2] Univ Tecn Lisboa, Inst Super Tecn, Ctr Estudos Gestao, P-1049101 Lisbon - Portugal
Total Affiliations: 2
Document type: Journal article
Source: European Journal of Operational Research; v. 294, n. 1, p. 70-90, OCT 1 2021.
Web of Science Citations: 2
Abstract

Sustainable Supply Chain (SSC) management aims at integrating economic, environmental and social goals to assist in the long-term planning of a company and its supply chains. There is no consensus in the literature as to whether social and environmental responsibilities are profit-compatible. However, the conflicting nature of these goals is explicit when considering specific assessment measures and, in this scenario, multi-objective optimization is a way to represent problems that simultaneously optimize the goals. This paper proposes a Lagrangian matheuristic method, called AugMathLagr, to solve a hard and relevant multi-objective problem found in the literature. AugMathLagr was extensively tested using artificial instances defined by a generator presented in this paper. The results show a competitive performance of AugMathLagr when compared with an exact multi-objective method limited by time and a matheuristic recently proposed in the literature and adapted here to address the studied problem. In addition, computational results on a case study are presented and analyzed, and demonstrate the outstanding performance of AugMathLagr. (c) 2021 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 14/27334-9 - A study of sustainable supply chain management problems
Grantee:Camila Pereira dos Santos Tautenhain
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 16/02203-4 - A study of sustainable supply chain management problems
Grantee:Camila Pereira dos Santos Tautenhain
Support Opportunities: Scholarships abroad - Research Internship - Master's degree