灰色预测线性规划在多金属矿产能优化配置中的应用

Application of a grey predicted linear programming model in optimal allocation of polymetallic mines

摘要: 利用灰色预测线性规划模型对多金属矿山的产能进行优化配置.经过灰色预测模型对各定位系数进行预测,将灰色线性规划问题转化为一般的线性规划问题,对其进行求解.结果表明,定位系数GM(1,1)误差检验合格,预测的多金属矿山经产能优化后可以实现生产资料的合理配置和利润的最大化.

Abstract: A grey predicted linear programming model was applied to the optimal allocation of production capacity of polymetallic mines.After predicting each positioning coefficient by the grey prediction model, the grey linear programming problem was turned into a general linear programming problem.The results show that the GM(1, 1) model error checking of positioning coefficients is passed.A polymetallic mine after optimizing the allocation of production capacity can achieve a reasonable allocation of productive materials and profit maximization