Cold chain vulnerability assessment through two-stage grey comprehensive measurement of intuitionistic fuzzy entropy

Abstract

Purpose

This study aims to investigate the vulnerability of cold chain logistics through a comprehensive assessment and provide targeted control measures.

Design/methodology/approach

The index system of the cold chain vulnerability assessment was established with knowledge obtained from three different dimensions, namely, exposure, sensitivity and adaptability. The final index weight was determined through combination of the intuitionistic fuzzy (IF) entropy and compromise ratio approaches, followed by the comprehensive vulnerability assessment through the two-stage grey comprehensive measurement model. The feasibility and effectiveness of the proposed method were verified by evaluation with SF, HNA, China Merchants and COFCO as target examples.

Findings

The results revealed that the most influential factors in the cold chain vulnerability problem were the temperature reaching the standard, as well as the storage and preservation levels; through their analysis combined with the overall cold chain vulnerability assessment, the targeted control measures were obtained.

Originality/value

Based on the research perspective of cold chain vulnerability assessment, a novel assessment model of cold chain logistics vulnerability was proposed, which is based on IF entropy two-stage grey comprehensive measurement. It provides more powerful theoretical support to improve the quality management of cold chain products.

Citation

Xu, L. and Tang, Q. (2022), "Cold chain vulnerability assessment through two-stage grey comprehensive measurement of intuitionistic fuzzy entropy", Kybernetes, Vol. 51 No. 2, pp. 694-714. https://doi.org/10.1108/K-02-2021-0161