Application of Ant Colony Algorithm in Enterprise Supply Chain Network Optimization and Synergy Effect Analysis

With the advancement of globalization and informatization, the complexity of corporate supply chain networks (SCN) continues to rise. Optimizing SCN to improve efficiency and reduce costs has become a major issue that companies urgently need to address. In this context, the ant colony algorithm, as a heuristic optimization algorithm with excellent performance, has been increasingly concerned by academia and industry due to its outstanding performance in solving complex optimization problems. This paper systematically explores the application of the ant colony algorithm in the field of enterprise SCN optimization. First, this paper outlines the basic principles of ant colony algorithm and the practical background of SCN optimization; then, this paper elaborates on the specific application strategies and methods of ant colony algorithm in SCN optimization; next, this paper conducts experimental tests on the enterprise SCN. The experimental results show that the ant colony algorithm can ensure stable internal coordination efficiency, stimulate positive synergy effects, and has excellent ability to cope with supply disruptions, showing its great potential in the field of SCN optimization. Finally, the research results are summarized and future research directions are pointed out.