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

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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

Collections

Graduate School of Applied Mathematics, Article