Research on the performance evaluation of agricultural product distribution supply chain based on BP neural network

Abstract Supply chain management is in a period of rapid development, and future competition in the distribution industry will be centered around competition between supply chains. Agricultural product distribution, as an important part of modern distribution, plays a positive role in ensuring people's daily lives and improving the modernization level of agricultural distribution. Therefore, clarifying the performance of the supply chain is the key to enhancing its development level and market competitiveness. Given that most current supply chain performance evaluation studies focus on the industrial sector and there are limited methods for evaluating the performance of agricultural product distribution supply chains, this paper attempts to analyze the performance evaluation system of agricultural product supply chains centered on supermarkets. In terms of research methodology, it is based on the BP neural network and considers five aspects of the agricultural product distribution supply chain: financial situation, operational capability, growth capability, customer satisfaction, and agility. A corresponding evaluation index system is established. Finally, Yonghui Supermarket and its suppliers are used to apply this performance evaluation system in practice, further identifying beneficial ways to improve the performance level of agricultural product distribution supply chains.