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- W2380882980 abstract "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." @default.
- W2380882980 created "2016-06-24" @default.
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- W2380882980 date "2012-01-01" @default.
- W2380882980 modified "2023-09-27" @default.
- W2380882980 title "Raw material inventory optimization algorithm for sinter material plant based on GA-PSO" @default.
- W2380882980 hasPublicationYear "2012" @default.
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