Rope shovels are used to dig and load materials in surface mines. One of the main factors that influence the production rate and energy consumption of rope shovels is the performance of the operator. This paper presen...Rope shovels are used to dig and load materials in surface mines. One of the main factors that influence the production rate and energy consumption of rope shovels is the performance of the operator. This paper presents a method for evaluating rope shovel operators using the Multi-Attribute Decision-Making （MADM） model. Data used in this research were collected from an operating surface coal mine in the southern United States. The MADM model consists of attributes, their weights of importance, and alter- natives. Shovel operators are considered the alternatives, The energy consumption model was developed with multiple regression analysis, and its variables were included in the MADM model as attributes. Preferences with respect to min/max of the defined attributes were obtained with multi-objective opti- mization. Multi-objective optimization was conducted with the overall goal of minimizing energy con- sumption and maximizing production rate. Weights of importance of the attributes were determined by the Analytical Hierarchy Process （AHP）, The overall evaluation of operators was performed by one of the MADM models, i.e., PROMETHEE If. The research results presented here may be used by mining professionals to held evaluate the performance of rode shovel operators in surface mining.展开更多
On the basis of analyzing the shortage of scale measure of the current AHP, and following base principIe of two comparison: principle of reward-punishment and principle of conversion, translation function and concilia...On the basis of analyzing the shortage of scale measure of the current AHP, and following base principIe of two comparison: principle of reward-punishment and principle of conversion, translation function and conciliation coefficient have been structured. This article advances a new measure which structuring translation function and conciliation coefficient. The result of application of improved AHP on the synthesis evaluation of agricultural mechanization is satisfactory.展开更多
文摘Rope shovels are used to dig and load materials in surface mines. One of the main factors that influence the production rate and energy consumption of rope shovels is the performance of the operator. This paper presents a method for evaluating rope shovel operators using the Multi-Attribute Decision-Making （MADM） model. Data used in this research were collected from an operating surface coal mine in the southern United States. The MADM model consists of attributes, their weights of importance, and alter- natives. Shovel operators are considered the alternatives, The energy consumption model was developed with multiple regression analysis, and its variables were included in the MADM model as attributes. Preferences with respect to min/max of the defined attributes were obtained with multi-objective opti- mization. Multi-objective optimization was conducted with the overall goal of minimizing energy con- sumption and maximizing production rate. Weights of importance of the attributes were determined by the Analytical Hierarchy Process （AHP）, The overall evaluation of operators was performed by one of the MADM models, i.e., PROMETHEE If. The research results presented here may be used by mining professionals to held evaluate the performance of rode shovel operators in surface mining.
基金The project is supported by National Natural Science Foundation of China (39770432)ZhejiangProvincial Natural Science Founda
文摘On the basis of analyzing the shortage of scale measure of the current AHP, and following base principIe of two comparison: principle of reward-punishment and principle of conversion, translation function and conciliation coefficient have been structured. This article advances a new measure which structuring translation function and conciliation coefficient. The result of application of improved AHP on the synthesis evaluation of agricultural mechanization is satisfactory.
