基于EM-plant的可重入钢管生产线仿真与调度

For the re-entrant problem in steel pipes production lines, the papers uses the simulation and optimization methods to solve. The simulation simplify the issue of resources and strategies for modeling, and eM-Plant simulation software to achieve. The scheduling uses genetic algorithms to optimize the material and dispatching strategy, compared to the results of single strategy, and prove that there is a strong optimize performance and stability with genetic algorithms.