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• W2953274324 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 $AugMathLagr$." @default.
• W2953274324 created "2019-06-27" @default.
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• W2953274324 date "2021-10-01" @default.
• W2953274324 modified "2023-10-02" @default.
• W2953274324 title "An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem" @default.
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• W2953274324 doi "https://doi.org/10.1016/j.ejor.2021.01.008" @default.
• W2953274324 hasPublicationYear "2021" @default.
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