Abstract:

With the improvement of environmental uncertainty, the demand for supply chain stability of petrochemical enterprises in China is rising day by day. The evaluation of supply chain resilience of petrochemical enterprises has become an important means to judge the risk coping ability of petrochemical enterprises. This paper constructs a supply chain resilience evaluation index system in the petrochemical enterprises. And fuzzy analytic hierarchy process and BP neural network are used to evaluate the toughness strength of petrochemical enterprise supply chain, so as to determine the toughness level of petrochemical enterprise supply chain.It is found that the strength of supply chain toughness of petrochemical enterprises is uneven, and the overall level of supply chain resilience is low. On the basis of the research results, some practical suggestions are put forward for the forging of resilient supply chain in petrochemical enterprises.

Key words: Petrochemical enterprises, Supply chain resilience, Analytic hierarchy process（AHP）, BP neural network

摘要：

随着环境不确定性的提高，中国石化企业供应链稳定性需求日渐攀升，供应链韧性评价已经成为判断石化企业风险应对能力的重要手段。基于双循环背景，通过构建石化企业供应链韧性评估指标体系，利用层次分析法和BP神经网络，对石化企业供应链韧性强度进行评估，确定了供应链韧性水平。结果表明，各石化企业的供应链韧性强度存在较大差异，供应链韧性整体水平偏低。在研究结果的基础上，对韧性供应链锻造提出了切实可行的建议。

关键词: 石化企业, 供应链韧性, 层次分析法, BP神经网络算法