Optimization of the Green Products Selection for Express Packaging—Based on the Improved TOPSIS

By researching how to select green products for express packaging, this study provides a scientific decision-making basis and methodology for logistics enterprises, encouraging them to accelerate green transformation and meet consumer demands. This article proposes a method for logistics companies to evaluate green products using specific indicators. First, triangular fuzzy numbers and their α-levels are incorporated into the calculation process. Second, when determining the weights of each indicator, both the priority and its relative degree are considered, enhancing the evaluation in relevant scenarios. Finally, an improved approach for calculating positive and negative ideal solutions in the TOPSIS method is presented. Through numerical examples, we demonstrate that the value of α in the improved fuzzy TOPSIS method proposed in this study critically influences logistics enterprises’ selection of container bag suppliers.

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Publication Details

Journal
Sustainability
Published
2025-04-18
DOI
https://doi.org/10.3390/su17083672
Citations
1
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
2.11

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article

Optimization of the Green Products Selection for Express Packaging—Based on the Improved TOPSIS

Qingjie Lin, Rong Fan, Jia-Cai Liu
1 citations
Sustainability
Multi-Criteria Decision Making
2.11
article

Optimization of the Green Products Selection for Express Packaging—Based on the Improved TOPSIS

Qingjie Lin, Rong Fan, Jia-Cai Liu
article en
1 citations

Abstract

By researching how to select green products for express packaging, this study provides a scientific decision-making basis and methodology for logistics enterprises, encouraging them to accelerate green transformation and meet consumer demands. This article proposes a method for logistics companies to evaluate green products using specific indicators. First, triangular fuzzy numbers and their α-levels are incorporated into the calculation process. Second, when determining the weights of each indicator, both the priority and its relative degree are considered, enhancing the evaluation in relevant scenarios. Finally, an improved approach for calculating positive and negative ideal solutions in the TOPSIS method is presented. Through numerical examples, we demonstrate that the value of α in the improved fuzzy TOPSIS method proposed in this study critically influences logistics enterprises’ selection of container bag suppliers.

SustainabilityVol. 17(8)
Fujian Agriculture and Forestry University (CN)
Fujian Agriculture and Forestry University, National Social Science Fund of China
Openalex Percentile: Top 15%
Multi-Criteria Decision Making
2.11
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