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Location–allocation problem for green efficient two-stage vehicle-based logistics system: A type-2 neutrosophic multi-objective modeling approach
Date
2024-03-15
Author
Das, Soumen Kumar
Yu, Vincent F.
Roy, Sankar Kumar
Weber, Gerhard Wilhelm
Metadata
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In recent decades, global climate change has become one of the most critical environmental issues, leading to increased environmental and social concerns about the sustainability of logistics networks. This study proposes a novel multi-objective, multi-facility location–allocation model for a two-stage solid logistics network that supports green practices. To account for uncertainty in real-world problems, some parameters of the model are represented as triangular type-2 neutrosophic numbers to deal with hesitant situations. The fuzzy model is then converted into a deterministic one using a new ranking approach. Three conflicting objective functions – minimizing total financial costs, maximizing customers’ satisfaction levels, and ensuring sustainable and effective conveyances – are simultaneously optimized using the ϵ-constraint approach. The proposed model and solution approach are tested with two numerical examples. A comparative study is also presented, comparing the proposed approach with other Pareto-based multi-objective approaches, such as the global criterion approach, multi-objective fuzzy programming, and weighted Chebychev programming. Finally, the paper concludes with some remarks.
Subject Keywords
Carbon emissions
,
Location–allocation problem
,
Neutrosophic set
,
Sustainable development
,
Two-stage solid logistics modeling
,
Type-2 set
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174716263&origin=inward
https://hdl.handle.net/11511/107984
Journal
Expert Systems with Applications
DOI
https://doi.org/10.1016/j.eswa.2023.122174
Collections
Graduate School of Applied Mathematics, Article
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BibTeX
S. K. Das, V. F. Yu, S. K. Roy, and G. W. Weber, “Location–allocation problem for green efficient two-stage vehicle-based logistics system: A type-2 neutrosophic multi-objective modeling approach,”
Expert Systems with Applications
, vol. 238, pp. 0–0, 2024, Accessed: 00, 2024. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174716263&origin=inward.