Work

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

Year: 2025

Type: article

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.

Source: Sustainability

DOI: 10.3390/su17083672

Authors: Jiacai Liu, Rong Fan, Qingfan Lin

Institutions: Jinshan College of Fujian Agriculture and Forestry University, Fujian Agriculture and Forestry University

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,896