This paper systematically generalizes relevant theories and methods regarding mining cost control and constitutes the model for the mining cost analysis. It also comes up with the sensitivity factor analysis to conduc...This paper systematically generalizes relevant theories and methods regarding mining cost control and constitutes the model for the mining cost analysis. It also comes up with the sensitivity factor analysis to conduct mining cost control. The theories and methods have been experimented with Jiangsu Chuanshan Mining Joint-Stock Company Ltd. Case studies have been undertaken on mining cost of the company and the most sensitive factor which affects mining cost has been found accordingly. Finally the paper concludes that the focus concerning the cost control of the company should be directed at output and material costs.展开更多
The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (...The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (UER) and multivariate linear regression (MLR) were used in this study. Loading equipment parameters such as bucket capacity, machine weight, engine power, boom length, digging depth, and dumping height were considered as variables. The results obtained by models and mean absolute error rate indicate that these models can be applied as the useful tool in determination of overhaul and maintenance cost of loading equipment. The results of this study can be used by the decision-makers for the specific surface mining operations.展开更多
Based on the neural network technique, this paper proposes a BP neural network model which integrates geological factors which affect top coal caving in a comprehensive index. The index of top coal caving may be used ...Based on the neural network technique, this paper proposes a BP neural network model which integrates geological factors which affect top coal caving in a comprehensive index. The index of top coal caving may be used to forecast the mining cost of working faces, which shows the model’s potential prospect of applications.展开更多
文摘This paper systematically generalizes relevant theories and methods regarding mining cost control and constitutes the model for the mining cost analysis. It also comes up with the sensitivity factor analysis to conduct mining cost control. The theories and methods have been experimented with Jiangsu Chuanshan Mining Joint-Stock Company Ltd. Case studies have been undertaken on mining cost of the company and the most sensitive factor which affects mining cost has been found accordingly. Finally the paper concludes that the focus concerning the cost control of the company should be directed at output and material costs.
文摘The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (UER) and multivariate linear regression (MLR) were used in this study. Loading equipment parameters such as bucket capacity, machine weight, engine power, boom length, digging depth, and dumping height were considered as variables. The results obtained by models and mean absolute error rate indicate that these models can be applied as the useful tool in determination of overhaul and maintenance cost of loading equipment. The results of this study can be used by the decision-makers for the specific surface mining operations.
文摘Based on the neural network technique, this paper proposes a BP neural network model which integrates geological factors which affect top coal caving in a comprehensive index. The index of top coal caving may be used to forecast the mining cost of working faces, which shows the model’s potential prospect of applications.
