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August 5, 2026Soft ComputingOpen Access

Optimizing transportation and reducing carbon footprint: a multi-objective approach with carbon cap and offset policy in fixed charge scenarios under type-2 neutrosophic uncertainty

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Authors

VYVincent F. YuABAbhijit BeraRDRupantar Das

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Overview

Randomized trial optimizes carbon emissions in transportation systems, indicating potential for sustainable logistics.

Key Points

  • The aim is to optimize transportation costs, time, and product preservation while reducing carbon emissions through a novel multi-objective approach.
  • Developed a multi-objective fixed-charge transportation (MOFCT) model incorporating type-2 neutrosophic parameters.
  • Applied a ranking method to convert neutrosophic parameters into crisp values for analysis.
  • Utilized Leontief-scalarized fuzzy programming to derive Pareto-optimal solutions.
  • Numerical experiments showed fuzzy approaches outperformed intuitionistic fuzzy programming for optimal solutions.
  • Neutrosophic models effectively represented uncertainties in logistics systems with fluctuating demand.
  • The integration of carbon offset mechanisms facilitated a balance between economic and environmental goals.

Cite This Study

Yu et al. (2026) studied this question.

synapsesocial.com/papers/6a72e816226790f37065787bhttps://doi.org/10.1007/s00500-026-11398-5
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