A low carbon multi-modal logistics network optimization: A novel neutrosophic mixed integer linear programming approach

This paper proposes a novel neutrosophic mixed integer linear programming (NMILP) model for designing a multi-period, multi-country, and multi-modal network in an uncertain environment. The uncertainty related to demand, production cost, transportation cost, carbon emission cost, capacity and delive...

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Vydané v:	Journal of environmental management Ročník 387; s. 125924
Hlavní autori:	Kumar, Anurag, Mishra, Shraddha
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 01.07.2025
Predmet:	Carbon Carbon regulation Global logistics Models, Theoretical Multi-modal Neutrosophic fuzzy Programming, Linear Uncertainty Neutrosophic fuzzy Global logistics Multi-modal Carbon regulation
ISSN:	0301-4797, 1095-8630, 1095-8630
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