Research on Optimization of Enterprise Green Supply Chain Sustainable Development Strategy Based on Big Data Analysis

Abstract

The green supply chain concept plays an important role in realizing the sustainable development of supply chain. This paper improves the FOA algorithm and proposes an adaptive fruit fly optimization algorithm AFOA to optimize the initial weights and thresholds of the BP neural network and proposes the AFOA-BP model to analyze the supply chain data of the enterprise.The AFOA algorithm converges at the 10th generation, which has a faster convergence rate than the traditional FOA algorithm. The RMSE and MAE values of the model are 0.07682 and 6.84381%, respectively, which are smaller than the BP and FOA-BP models, and have stable prediction effects.After applying the model of this paper for the prediction of the importance of green supply chain risk mitigation strategies, the overall management and operation performance and energy consumption and emission performance of enterprise K have been improved.