Abstract: In cloud manufacturing environment,for the geographical distribution of resources,the scheduling for manufacturing workflow with multiple goals should consider not only the cost of resources,but also the cost of product transportation.A hybrid algorithm is proposed to solve the problem which took the advantage of global optimization with genetic algorithm and fast convergence with particle swarm algorithm.Compared to the results of normal GA and PSO,simulation results show that the hybrid algorithm is an effective method for manufacturing workflow scheduling.