The raw material purchasing and storage cost are the capital bottleneck of iron and steel enterprises.According to the purchasing and consuming characteristics of sinter material plant

the iron ore raw material inventory optimization model committed to minimum cost was established.Furthermore

an optimation method which combine the particle swam optimation(PSO)and genetic algorithm(GA)was developed to solve the question.To prove the effectiveness of this method

it was validated by the actual running data of a 360 m2 sintering production line in an iron and steel enterprise.The simulation results showed that the model could feedback the real condition of raw material inventory in sinter plant

and the optimal solution could be obtained by the GA-PSO method

which could give a reliable support for the material purchasing decision.