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

ZHENG Hai-li; CHEN Jian-hong; YANG Rui-bo; HU Da-tao

doi:10.13374/j.issn1001-053x.2010.12.016

Volume 32 Issue 12

Aug. 2021

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ZHENG Hai-li, CHEN Jian-hong, YANG Rui-bo, HU Da-tao. Application of a grey predicted linear programming model in optimal allocation of polymetallic mines[J]. Chinese Journal of Engineering, 2010, 32(12): 1613-1617. doi: 10.13374/j.issn1001-053x.2010.12.016

Citation:

ZHENG Hai-li, CHEN Jian-hong, YANG Rui-bo, HU Da-tao. Application of a grey predicted linear programming model in optimal allocation of polymetallic mines[J]. Chinese Journal of Engineering, 2010, 32(12): 1613-1617. doi: 10.13374/j.issn1001-053x.2010.12.016

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

doi: 10.13374/j.issn1001-053x.2010.12.016

1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
2. Hunan Key Lab of Deep Metal Minerals Exploitation and Hazard Control, Changsha 410083, China

Received Date: 2009-12-23

Abstract

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
- mines,
- grey prediction,
- linear programming,
- optimal allocation