灰色預測線性規劃在多金屬礦產能優化配置中的應用

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

摘要: 利用灰色預測線性規劃模型對多金屬礦山的產能進行優化配置.經過灰色預測模型對各定位系數進行預測,將灰色線性規劃問題轉化為一般的線性規劃問題,對其進行求解.結果表明,定位系數GM(1,1)誤差檢驗合格,預測的多金屬礦山經產能優化后可以實現生產資料的合理配置和利潤的最大化.

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