Optimisation of rural green supply chain promoting social sustainable development: a case study based on intelligent environmental impact assessment

To effectively address the environmental challenges confronting rural enterprises, optimising the supply chain while ensuring sustainability is of paramount importance.This study proposes a green supply chain (GSC) optimisation framework specifically designed for rural enterprises to assess and mitigate their environmental impacts.An enhanced Mamba structure is first introduced to identify congestion points within rural supply chains.By integrating these congestion nodes with environmental parameters, a multiobjective optimisation (MOO) strategy is developed to simultaneously reduce pollution and minimise resource loss.This approach facilitates the establishment of a GSC tailored to the distinctive operational characteristics of rural enterprises.Experimental results reveal that the proposed congestion node detection system achieves an F-value of 0.824, while the environmental impact detection accuracy of the optimised supply chain reaches 0.845, indicating a substantial improvement in supply chain performance within rural contexts.