Green Manufacturing Strategy Based on Improved Particle Swarm Optimization Algorithm

Green manufacturing is an important symbol of Industry 4.0, and green manufacturing has become the main direction of enterprise innovation. Particle swarm optimization (PSO) algorithm has superior applications in many fields, and there is little existing literature on the application of the PSO algorithm in green manufacturing research. Therefore, this paper applies the PSO algorithm to study the green manufacturing strategy of enterprises. However, PSO algorithm has the limitation of easily falling into local optima. The academic community has proposed a linear decreasing weight method, but the effect is not significant. Therefore, this paper proposes an improved the PSO algorithm by introducing a nonlinear decreasing weight method. Through simulation analysis of numerical examples, the results show that the improved PSO algorithm used in this paper has fewer iterations in finding the optimal solution, which can help enterprises shorten decision-making time and is more suitable for the decision-making of enterprise green manufacturing strategy.