Production Scheduling Optimization of Prefabricated Components Based on Improved Artificial Fish Swarm Algorithm

Abstract

In this paper, the production scheduling problem of prefabricated hybrid flow shop is studied. Resource constraints such as limited labor, limited buffer and steam maintenance parallel machine are considered in the actual production process, and an optimization model of production scheduling is established to minimize production cost, storage cost and delay cost. The maximum permutation method is used to arrange the discrete data, and then the artificial fish swarm algorithm is improved by combining the modified adjustment operation and mutation operation of genetic algorithm. Finally, by analyzing the actual production case of a prefabricated component factory, it is verified that the improved artificial fish swarm algorithm has good optimization and convergence.