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.

中文翻译：

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基于直觉模糊熵的两阶段灰色综合测度冷链脆弱性评估

目的

本研究旨在通过综合评估调查冷链物流的脆弱性，并提供有针对性的控制措施。

设计/方法/方法

冷链脆弱性评估指标体系是从暴露、敏感性和适应性三个不同维度获得的知识建立的。结合直觉模糊（IF）熵和折衷比方法确定最终指标权重，然后通过两阶段灰色综合测量模型进行综合脆弱性评估。以顺丰、海航、招商局和中粮为目标实例进行评估，验证了所提方法的可行性和有效性。

发现

结果表明，对冷链脆弱性问题影响最大的因素是温度达标，以及储存和保鲜水平；通过他们的分析，结合整体冷链脆弱性评估，得出了针对性的控制措施。

原创性/价值

基于冷链脆弱性评估的研究视角，提出了一种基于IF熵两阶段灰色综合测度的冷链物流脆弱性评估模型。为提高冷链产品的质量管理提供了更有力的理论支持。