基于云模型-MABCA决策框架的冷链物流供应商选择研究

Research on Cold Chain Logistics Supplier Selection Based on Cloud Model-MABCA Decision Framework

摘要: 随着电子商务的迅猛发展，尤其在生鲜食品、医药等对温度敏感商品的领域，冷链物流的重要性日益凸显。选择合适的冷链物流供应商成为电商平台提升运营效率、保证产品质量的关键。然而，由于影响供应商选择的因素复杂且存在不确定性，传统的决策方法难以有效应对。本文提出了一种基于云模型与多属性双向边界逼近法(MABCA)的冷链物流供应商选择的决策框架，能够有效综合多维评价因素，在不确定环境下实现对冷链物流供应商科学评价与选择，提高决策的精确性与合理性，最后，通过永辉生鲜选择冷链物流供应商的现实案例验证了决策框架的有效性。

Abstract: With the rapid development of e-commerce, the importance of cold chain logistics is becoming more and more prominent, especially in the field of temperature-sensitive commodities such as fresh food and medicine. Selecting suitable cold chain logistics suppliers has become the key for e-commerce platforms to improve operational efficiency and ensure product quality. However, due to the complexity and uncertainty of the factors affecting supplier selection, traditional decision-making methods are difficult to respond effectively. This paper proposes a decision-making framework for cold chain logistics supplier selection based on cloud model and multi-attribute bi-directional boundary approximation (MABCA), which can effectively synthesize the multi-dimensional evaluation factors, realize scientific evaluation and selection of cold chain logistics suppliers under uncertain environment, and improve the accuracy and reasonableness of decision-making, and finally, verify the decision-making framework through the real case of Yonghui Fresh’s selection of cold chain logistics suppliers.