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

Jiacai Liu, Rong Fan and Qingfan Lin ()
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Jiacai Liu: College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China
Rong Fan: College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China
Qingfan Lin: College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China

Sustainability, 2025, vol. 17, issue 8, 1-18

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.

Keywords: fuzzy TOPSIS; green products for express packaging; priority; degree of priority (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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