铁前物流成本控制模型及优化

Logistics Cost Control Model and Optimization of Iron-Making

建立了铁前生产成本因素之间的关系模型,一方面从宏观的大数据角度分析,挖掘出超越人们经验的影响因子;另一方面从微观角度分析,进行了精细模型的研究,应用区间规划算法,建立了不同角度的模型。最后以某钢铁企业的铁前物流成本数据,整合了焦化、炼铁、球团、烧结、石灰五个方面的总模型并进行了成本优化的预测,为铁前物流管理决策提供参考。

The relationship model between the cost of factors and cost of production was established. On the one hand, we need to make a series of analysis from macroscopic big data, digging out the beyond experience’s influential factors;on the other hand, based on the theory of interval programming algorithm, model was established from different angles by analysis of microcosmic angle and study of fine model. Finally, using the data of logistics cost from a steel plant, model was integrated in the five aspects of coking, iron-making, pellets, sintering, and lime. At the same time, we have predicted all costs and provided references for iron logistics’ management decision.