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

Autor(es)

Tautenhain, Camila P. S. ^[1] ; Barbosa-Povoa, Ana Paula ^[2] ; Mota, Bruna ^[2] ; Nascimento, Maria C. V. ^[1]

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

• 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