| Texto completo | |
| Autor(es): |
Tautenhain, Camila P. S.
[1]
;
Barbosa-Povoa, Ana Paula
[2]
;
Mota, Bruna
[2]
;
Nascimento, Maria C. V.
[1]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [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
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | European Journal of Operational Research; v. 294, n. 1, p. 70-90, OCT 1 2021. |
| Citações Web of Science: | 2 |
| Resumo | |
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) | |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |
| Processo FAPESP: | 14/27334-9 - Um estudo de problemas de planejamento em cadeias de suprimentos sustentáveis |
| Beneficiário: | Camila Pereira dos Santos Tautenhain |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |
| Processo FAPESP: | 16/02203-4 - Um estudo de problemas de planejamento em cadeias de suprimentos sustentáveis |
| Beneficiário: | Camila Pereira dos Santos Tautenhain |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Mestrado |