Research on the optimization and configuration algorithm of equipment supplier resources in a dynamic supply chain environment

The optimization of the resource configuration of equipment suppliers is confronted with the challenges of demand fluctuation and uncertainty of supplier resources. An optimal configuration model of equipment supplier resource is presented in this paper, which is based on HACO. Through the combination of Ant Colony Optimization and Local Search Algorithm, it not only improves the global search ability, but also performs fine optimization on the spot to meet the dynamic demand of the supply chain. The experiment results indicate that HACO can be optimized significantly in many supply chain situations, including 13% reduction in purchase cost, 15% increase in response time, and improved supply chain stability. Finally, it is proved that the algorithm is feasible and effective in optimizing the supply chain. The research provides a new approach to optimize the resource allocation of equipment suppliers under the dynamic supply chain.